Agile software development is an umbrella term for approaches to developing software that reflect the values and principles agreed upon by The Agile Alliance, a group of 17 software practitioners in 2001.[1] As documented in their Manifesto for Agile Software Development the practitioners value:[2]
The practitioners cite inspiration from new practices at the time including extreme programming, scrum, dynamic systems development method, adaptive software development and being sympathetic to the need for an alternative to documentation driven, heavyweight software development processes.
Many software development practices emerged from the agile mindset. These agile-based practices, sometimes called Agile (with a capital A)[3] include requirements, discovery and solutions improvement through the collaborative effort of self-organizing and cross-functional teams with their customer(s)/end user(s).[4]
While there is much anecdotal evidence that the agile mindset and agile-based practices improve the software development process, the empirical evidence is limited and less than conclusive.[5] [6] [7]
Iterative and incremental software development methods can be traced back as early as 1957,[8] with evolutionary project management[9] [10] and adaptive software development[11] emerging in the early 1970s.[12]
During the 1990s, a number of lightweight software development methods evolved in reaction to the prevailing heavyweight methods (often referred to collectively as waterfall) that critics described as overly regulated, planned, and micromanaged. These lightweight methods included: rapid application development (RAD), from 1991;[13] [14] the unified process (UP) and dynamic systems development method (DSDM), both from 1994; Scrum, from 1995; Crystal Clear and extreme programming (XP), both from 1996; and feature-driven development (FDD), from 1997. Although these all originated before the publication of the Agile Manifesto, they are now collectively referred to as agile software development methods.[15]
Already since 1991 similar changes had been underway in manufacturing[16] [17] and management thinking[18] derived from Lean management.
In 2001, seventeen software developers met at a resort in Snowbird, Utah to discuss lightweight development methods. They were: Kent Beck (Extreme Programming), Ward Cunningham (Extreme Programming), Dave Thomas (PragProg, Ruby), Jeff Sutherland (Scrum), Ken Schwaber (Scrum), Jim Highsmith (Adaptive Software Development), Alistair Cockburn (Crystal), Robert C. Martin (SOLID), Mike Beedle (Scrum), Arie van Bennekum, Martin Fowler (OOAD and UML), James Grenning, Andrew Hunt (PragProg, Ruby), Ron Jeffries (Extreme Programming), Jon Kern, Brian Marick (Ruby, TDD), and Steve Mellor (OOA). The group, The Agile Alliance, published the Manifesto for Agile Software Development.
In 2005, a group headed by Cockburn and Highsmith wrote an addendum of project management principles, the PM Declaration of Interdependence,[19] to guide software project management according to agile software development methods.
In 2009, a group working with Martin wrote an extension of software development principles, the Software Craftsmanship Manifesto, to guide agile software development according to professional conduct and mastery.
In 2011, the Agile Alliance created the Guide to Agile Practices (renamed the Agile Glossary in 2016),[20] an evolving open-source compendium of the working definitions of agile practices, terms, and elements, along with interpretations and experience guidelines from the worldwide community of agile practitioners.
The agile manifesto reads:
We are uncovering better ways of developing software by doing it and helping others do it. Through this work we have come to value:
That is, while there is value in the items on the right, we value the items on the left more.
Scott Ambler explained:[21]
Introducing the manifesto on behalf of the Agile Alliance, Jim Highsmith said,
The values are based on these principles:[22]
Most agile development methods break product development work into small increments that minimize the amount of up-front planning and design. Iterations, or sprints, are short time frames (timeboxes) that typically last from one to four weeks. Each iteration involves a cross-functional team working in all functions: planning, analysis, design, coding, unit testing, and acceptance testing. At the end of the iteration a working product is demonstrated to stakeholders. This minimizes overall risk and allows the product to adapt to changes quickly.[23] An iteration might not add enough functionality to warrant a market release, but the goal is to have an available release (with minimal bugs) at the end of each iteration.[24] Through incremental development, products have room to "fail often and early" throughout each iterative phase instead of drastically on a final release date.[25] Multiple iterations might be required to release a product or new features. Working software is the primary measure of progress.
A key advantage of agile approaches is speed to market and risk mitigation. Smaller increments are typically released to market, reducing the time and cost risks of engineering a product that doesn't meet user requirements.
The 6th principle of the agile manifesto for software development states "The most efficient and effective method of conveying information to and within a development team is face-to-face conversation". The manifesto, written in 2001 when video conferencing was not widely used, states this in relation to the communication of information, not necessarily that a team should be co-located.
The principle of co-location is that co-workers on the same team should be situated together to better establish the identity as a team and to improve communication.[26] This enables face-to-face interaction, ideally in front of a whiteboard, that reduces the cycle time typically taken when questions and answers are mediated through phone, persistent chat, wiki, or email.[27] With the widespread adoption of remote working during the COVID-19 pandemic and changes to tooling, more studies have been conducted[28] around co-location and distributed working which show that co-location is increasingly less relevant.
No matter which development method is followed, every team should include a customer representative (known as product owner in Scrum). This representative is agreed by stakeholders to act on their behalf and makes a personal commitment to being available for developers to answer questions throughout the iteration. At the end of each iteration, the project stakeholders together with the customer representative review progress and re-evaluate priorities with a view to optimizing the return on investment (ROI) and ensuring alignment with customer needs and company goals. The importance of stakeholder satisfaction, detailed by frequent interaction and review at the end of each phase, is why the approach is often denoted as a customer-centered methodology.[29]
In agile software development, an information radiator is a (normally large) physical display, board with sticky notes or similar, located prominently near the development team, where passers-by can see it. It presents an up-to-date summary of the product development status.[30] [31] A build light indicator may also be used to inform a team about the current status of their product development.
A common characteristic in agile software development is the daily stand-up (known as daily scrum in the Scrum framework). In a brief session (e.g., 15 minutes), team members review collectively how they are progressing toward their goal and agree whether they need to adapt their approach. To keep to the agreed time limit, teams often use simple coded questions (such as what they completed the previous day, what they aim to complete that day, and whether there are any impediments or risks to progress), and delay detailed discussions and problem resolution until after the stand-up.[32]
Specific tools and techniques, such as continuous integration, automated unit testing, pair programming, test-driven development, design patterns, behavior-driven development, domain-driven design, code refactoring and other techniques are often used to improve quality and enhance product development agility.[33] This is predicated on designing and building quality in from the beginning and being able to demonstrate software for customers at any point, or at least at the end of every iteration.[34]
Compared to traditional software engineering, agile software development mainly targets complex systems and product development with dynamic, indeterministic and non-linear properties. Accurate estimates, stable plans, and predictions are often hard to get in early stages, and confidence in them is likely to be low. Agile practitioners use their free will to reduce the "leap of faith" that is needed before any evidence of value can be obtained.[35] Requirements and design are held to be emergent. Big up-front specifications would probably cause a lot of waste in such cases, i.e., are not economically sound. These basic arguments and previous industry experiences, learned from years of successes and failures, have helped shape agile development's favor of adaptive, iterative and evolutionary development.[36]
Development methods exist on a continuum from adaptive to predictive.[37] Agile software development methods lie on the adaptive side of this continuum. One key of adaptive development methods is a rolling wave approach to schedule planning, which identifies milestones but leaves flexibility in the path to reach them, and also allows for the milestones themselves to change.[38]
Adaptive methods focus on adapting quickly to changing realities. When the needs of a project change, an adaptive team changes as well. An adaptive team has difficulty describing exactly what will happen in the future. The further away a date is, the more vague an adaptive method is about what will happen on that date. An adaptive team cannot report exactly what tasks they will do next week, but only which features they plan for next month. When asked about a release six months from now, an adaptive team might be able to report only the mission statement for the release, or a statement of expected value vs. cost.
Predictive methods, in contrast, focus on analyzing and planning the future in detail and cater for known risks. In the extremes, a predictive team can report exactly what features and tasks are planned for the entire length of the development process. Predictive methods rely on effective early phase analysis, and if this goes very wrong, the project may have difficulty changing direction. Predictive teams often institute a change control board to ensure they consider only the most valuable changes.
Risk analysis can be used to choose between adaptive (agile or value-driven) and predictive (plan-driven) methods.[39] Barry Boehm and Richard Turner suggest that each side of the continuum has its own home ground, as follows:
| Value-driven methods (agile) | Plan-driven methods (waterfall) | Formal methods | |
|---|---|---|---|
| Low criticality | High criticality | Extreme criticality | |
| Senior developers | Junior developers(?) | Senior developers | |
| Requirements change often | Requirements do not change often | Limited requirements, limited features, see Wirth's law | |
| Small number of developers | Large number of developers | Requirements that can be modeled | |
| Culture that responds to change | Culture that demands order | Extreme quality |
One of the differences between agile software development methods and waterfall is the approach to quality and testing. In the waterfall model, work moves through software development life cycle (SDLC) phases—with one phase being completed before another can start—hence the testing phase is separate and follows a build phase. In agile software development, however, testing is completed in the same iteration as programming.
Because testing is done in every iteration—which develops a small piece of the software—users can frequently use those new pieces of software and validate the value. After the users know the real value of the updated piece of software, they can make better decisions about the software's future. Having a value retrospective and software re-planning session in each iteration—Scrum typically has iterations of just two weeks—helps the team continuously adapt its plans so as to maximize the value it delivers. This follows a pattern similar to the plan-do-check-act (PDCA) cycle, as the work is planned, done, checked (in the review and retrospective), and any changes agreed are acted upon.
This iterative approach supports a product rather than a project mindset. This provides greater flexibility throughout the development process; whereas on projects the requirements are defined and locked down from the very beginning, making it difficult to change them later. Iterative product development allows the software to evolve in response to changes in business environment or market requirements.
In a letter to IEEE Computer, Steven Rakitin expressed cynicism about agile software development, calling it "yet another attempt to undermine the discipline of software engineering" and translating "working software over comprehensive documentation" as "we want to spend all our time coding. Remember, real programmers don't write documentation."[40]
This is disputed by proponents of agile software development, who state that developers should write documentation if that is the best way to achieve the relevant goals, but that there are often better ways to achieve those goals than writing static documentation.[41] Scott Ambler states that documentation should be "just barely good enough" (JBGE),[42] that too much or comprehensive documentation would usually cause waste, and developers rarely trust detailed documentation because it's usually out of sync with code,[41] while too little documentation may also cause problems for maintenance, communication, learning and knowledge sharing. Alistair Cockburn wrote of the Crystal Clear method:
Agile software development methods support a broad range of the software development life cycle. Some methods focus on the practices (e.g., XP, pragmatic programming, agile modeling), while some focus on managing the flow of work (e.g., Scrum, Kanban). Some support activities for requirements specification and development (e.g., FDD), while some seek to cover the full development life cycle (e.g., DSDM, RUP).
Notable agile software development frameworks include:
| Framework | Main contributor(s) | |
|---|---|---|
| Adaptive software development (ASD) | Jim Highsmith, Sam Bayer | |
| Scott Ambler, Robert Cecil Martin | ||
| Agile unified process (AUP) | Scott Ambler | |
| Scott Ambler | ||
| Dynamic systems development method (DSDM) | Jennifer Stapleton | |
| Extreme programming (XP) | Kent Beck, Robert Cecil Martin | |
| Feature-driven development (FDD) | Jeff De Luca | |
| Mary Poppendieck, Tom Poppendieck | ||
| Eric Ries | ||
| Taiichi Ohno | ||
| Rapid application development (RAD) | James Martin | |
| Ken Schwaber, Jeff Sutherland | ||
Agile software development is supported by a number of concrete practices, covering areas like requirements, design, modeling, coding, testing, planning, risk management, process, quality, etc. Some notable agile software development practices include:[43]
| Practice | Main contributor(s) | |
|---|---|---|
| Acceptance test-driven development (ATDD) | Ken Pugh | |
| Scott Ambler | ||
| Lisa Crispin, Janet Gregory | ||
| Backlogs (Product and Sprint) | Ken Schwaber, Jeff Sutherland | |
| Behavior-driven development (BDD) | Dan North, Liz Keogh | |
| Continuous integration (CI) | Grady Booch | |
| Daily stand-up / Daily Scrum | James O Coplien | |
| Domain-driven design (DDD) | Eric Evans | |
| Iterative and incremental development (IID) | ||
| Kent Beck | ||
| James Grenning, Mike Cohn | ||
| Martin Fowler | ||
| Esther Derby, Diana Larsen, Ben Linders, Luis Gonçalves | ||
| Scrum events (sprint planning, sprint review and retrospective) | Ken Schwaber, Jeff Sutherland | |
| Albert Zündorf | ||
| Test-driven development (TDD) | Kent Beck | |
In the literature, different terms refer to the notion of method adaptation, including 'method tailoring', 'method fragment adaptation' and 'situational method engineering'. Method tailoring is defined as:
Situation-appropriateness should be considered as a distinguishing characteristic between agile methods and more plan-driven software development methods, with agile methods allowing product development teams to adapt working practices according to the needs of individual products.[44] Potentially, most agile methods could be suitable for method tailoring, such as DSDM tailored in a CMM context.[45] and XP tailored with the Rule Description Practices (RDP) technique.[46] Not all agile proponents agree, however, with Schwaber noting "that is how we got into trouble in the first place, thinking that the problem was not having a perfect methodology. Efforts [should] center on the changes [needed] in the enterprise".[47] Bas Vodde reinforced this viewpoint, suggesting that unlike traditional, large methodologies that require you to pick and choose elements, Scrum provides the basics on top of which you add additional elements to localize and contextualize its use.[48] Practitioners seldom use system development methods, or agile methods specifically, by the book, often choosing to omit or tailor some of the practices of a method in order to create an in-house method.[49]
In practice, methods can be tailored using various tools. Generic process modeling languages such as Unified Modeling Language can be used to tailor software development methods. However, dedicated tools for method engineering such as the Essence Theory of Software Engineering of SEMAT also exist.[50]
Agile software development has been widely seen as highly suited to certain types of environments, including small teams of experts working on greenfield projects,[51] [52] and the challenges and limitations encountered in the adoption of agile software development methods in a large organization with legacy infrastructure are well-documented and understood.[53]
In response, a range of strategies and patterns has evolved for overcoming challenges with large-scale development efforts (>20 developers)[54] or distributed (non-colocated) development teams,[55] [56] amongst other challenges; and there are now several recognized frameworks that seek to mitigate or avoid these challenges.
There are many conflicting viewpoints on whether all of these are effective or indeed fit the definition of agile development, and this remains an active and ongoing area of research.[57] [58]
When agile software development is applied in a distributed setting (with teams dispersed across multiple business locations), it is commonly referred to as distributed agile software development. The goal is to leverage the unique benefits offered by each approach. Distributed development allows organizations to build software by strategically setting up teams in different parts of the globe, virtually building software round-the-clock (more commonly referred to as follow-the-sun model). On the other hand, agile development provides increased transparency, continuous feedback, and more flexibility when responding to changes.
Agile software development methods were initially seen as best suitable for non-critical product developments, thereby excluded from use in regulated domains such as medical devices, pharmaceutical, financial, nuclear systems, automotive, and avionics sectors, etc. However, in the last several years, there have been several initiatives for the adaptation of agile methods for these domains.[59] [60] [61] [62] [63]
There are numerous standards that may apply in regulated domains, including ISO 26262, ISO 9000, ISO 9001, and ISO/IEC 15504.A number of key concerns are of particular importance in regulated domains:[64]
Documentation providing auditable evidence of regulatory compliance and facilitating traceability and investigation of problems.
Although agile software development methods can be used with any programming paradigm or language in practice, they were originally closely associated with object-oriented environments such as Smalltalk, Lisp and later Java, C#. The initial adopters of agile methods were usually small to medium-sized teams working on unprecedented systems with requirements that were difficult to finalize and likely to change as the system was being developed. This section describes common problems that organizations encounter when they try to adopt agile software development methods as well as various techniques to measure the quality and performance of agile teams.[65]
The Agility measurement index, amongst others, rates developments against five dimensions of product development (duration, risk, novelty, effort, and interaction).[66] Other techniques are based on measurable goals[67] and one study suggests that velocity can be used as a metric of agility. There are also agile self-assessments to determine whether a team is using agile software development practices (Nokia test,[68] Karlskrona test,[69] 42 points test).[70]
One of the early studies reporting gains in quality, productivity, and business satisfaction by using agile software developments methods was a survey conducted by Shine Technologies from November 2002 to January 2003.[71]
A similar survey, the State of Agile, is conducted every year starting in 2006 with thousands of participants from around the software development community. This tracks trends on the perceived benefits of agility, lessons learned, and good practices. Each survey has reported increasing numbers saying that agile software development helps them deliver software faster; improves their ability to manage changing customer priorities; and increases their productivity.[72] Surveys have also consistently shown better results with agile product development methods compared to classical project management.[73] [74] In balance, there are reports that some feel that agile development methods are still too young to enable extensive academic research of their success.[75]
Organizations and teams implementing agile software development often face difficulties transitioning from more traditional methods such as waterfall development, such as teams having an agile process forced on them. These are often termed agile anti-patterns or more commonly agile smells. Below are some common examples:
A goal of agile software development is to focus more on producing working software and less on documentation. This is in contrast to waterfall models where the process is often highly controlled and minor changes to the system require significant revision of supporting documentation. However, this does not justify completely doing without any analysis or design at all. Failure to pay attention to design can cause a team to proceed rapidly at first, but then to require significant rework as they attempt to scale up the system. One of the key features of agile software development is that it is iterative. When done correctly, agile software development allows the design to emerge as the system is developed and helps the team discover commonalities and opportunities for re-use.[76]
In agile software development, stories (similar to use case descriptions) are typically used to define requirements and an iteration is a short period of time during which the team commits to specific goals.[77] Adding stories to an iteration in progress is detrimental to a good flow of work. These should be added to the product backlog and prioritized for a subsequent iteration or in rare cases the iteration could be cancelled.[78]
This does not mean that a story cannot expand. Teams must deal with new information, which may produce additional tasks for a story. If the new information prevents the story from being completed during the iteration, then it should be carried over to a subsequent iteration. However, it should be prioritized against all remaining stories, as the new information may have changed the story's original priority.
Agile software development is often implemented as a grassroots effort in organizations by software development teams trying to optimize their development processes and ensure consistency in the software development life cycle. By not having sponsor support, teams may face difficulties and resistance from business partners, other development teams and management. Additionally, they may suffer without appropriate funding and resources.[79] This increases the likelihood of failure.[80]
A survey performed by VersionOne found respondents cited insufficient training as the most significant cause for failed agile implementations[81] Teams have fallen into the trap of assuming the reduced processes of agile software development compared to other approaches such as waterfall means that there are no actual rules for agile software development.
The product owner is responsible for representing the business in the development activity and is often the most demanding role.[82]
A common mistake is to fill the product owner role with someone from the development team. This requires the team to make its own decisions on prioritization without real feedback from the business. They try to solve business issues internally or delay work as they reach outside the team for direction. This often leads to distraction and a breakdown in collaboration.[83]
Agile software development requires teams to meet product commitments, which means they should focus on work for only that product. However, team members who appear to have spare capacity are often expected to take on other work, which makes it difficult for them to help complete the work to which their team had committed.[84]
Teams may fall into the trap of spending too much time preparing or planning. This is a common trap for teams less familiar with agile software development where the teams feel obliged to have a complete understanding and specification of all stories. Teams should be prepared to move forward with only those stories in which they have confidence, then during the iteration continue to discover and prepare work for subsequent iterations (often referred to as backlog refinement or grooming).
A daily standup should be a focused, timely meeting where all team members disseminate information. If problem-solving occurs, it often can involve only certain team members and potentially is not the best use of the entire team's time. If during the daily standup the team starts diving into problem-solving, it should be set aside until a sub-team can discuss, usually immediately after the standup completes.[85]
One of the intended benefits of agile software development is to empower the team to make choices, as they are closest to the problem. Additionally, they should make choices as close to implementation as possible, to use more timely information in the decision. If team members are assigned tasks by others or too early in the process, the benefits of localized and timely decision making can be lost.[86]
Being assigned work also constrains team members into certain roles (for example, team member A must always do the database work), which limits opportunities for cross-training.[86] Team members themselves can choose to take on tasks that stretch their abilities and provide cross-training opportunities.
In the Scrum framework, which claims to be consistent with agile values and principles, the scrum master role is accountable for ensuring the scrum process is followed and for coaching the scrum team through that process. A common pitfall is for a scrum master to act as a contributor. While not prohibited by the Scrum framework, the scrum master needs to ensure they have the capacity to act in the role of scrum master first and not work on development tasks. A scrum master's role is to facilitate the process rather than create the product.[87]
Having the scrum master also multitasking may result in too many context switches to be productive. Additionally, as a scrum master is responsible for ensuring roadblocks are removed so that the team can make forward progress, the benefit gained by individual tasks moving forward may not outweigh roadblocks that are deferred due to lack of capacity.[88]
Due to the iterative nature of agile development, multiple rounds of testing are often needed. Automated testing helps reduce the impact of repeated unit, integration, and regression tests and frees developers and testers to focus on higher value work.[89]
Test automation also supports continued refactoring required by iterative software development. Allowing a developer to quickly run tests to confirm refactoring has not modified the functionality of the application may reduce the workload and increase confidence that cleanup efforts have not introduced new defects.
Focusing on delivering new functionality may result in increased technical debt. The team must allow themselves time for defect remediation and refactoring. Technical debt hinders planning abilities by increasing the amount of unscheduled work as production defects distract the team from further progress.[90]
As the system evolves it is important to refactor.[91] Over time the lack of constant maintenance causes increasing defects and development costs.[90]
A common misconception is that agile software development allows continuous change, however an iteration backlog is an agreement of what work can be completed during an iteration.[92] Having too much work-in-progress (WIP) results in inefficiencies such as context-switching and queueing.[93] The team must avoid feeling pressured into taking on additional work.[94]
Agile software development fixes time (iteration duration), quality, and ideally resources in advance (though maintaining fixed resources may be difficult if developers are often pulled away from tasks to handle production incidents), while the scope remains variable. The customer or product owner often pushes for a fixed scope for an iteration. However, teams should be reluctant to commit to the locked time, resources and scope (commonly known as the project management triangle). Efforts to add scope to the fixed time and resources of agile software development may result in decreased quality.[95]
Due to the focused pace and continuous nature of agile practices, there is a heightened risk of burnout among members of the delivery team.[96]
See main article: Agile management. Agile project management is an iterative development process, where feedback is continuously gathered from users and stakeholders to create the right user experience. Different methods can be used to perform an agile process, these include scrum, extreme programming, lean and kanban.[97] The term agile management is applied to an iterative, incremental method of managing the design and build activities of engineering, information technology and other business areas that aim to provide new product or service development in a highly flexible and interactive manner, based on the principles expressed in the Manifesto for Agile Software Development.[98] Agile project management metrics help reduce confusion, identify weak points, and measure team's performance throughout the development cycle. Supply chain agility is the ability of a supply chain to cope with uncertainty and variability on offer and demand. An agile supply chain can increase and reduce its capacity rapidly, so it can adapt to a fast-changing customer demand. Finally, strategic agility is the ability of an organisation to change its course of action as its environment is evolving. The key for strategic agility is to recognize external changes early enough and to allocate resources to adapt to these changing environments.
Agile X techniques may also be called extreme project management. It is a variant of iterative life cycle[99] where deliverables are submitted in stages. The main difference between agile and iterative development is that agile methods complete small portions of the deliverables in each delivery cycle (iteration),[100] while iterative methods evolve the entire set of deliverables over time, completing them near the end of the project. Both iterative and agile methods were developed as a reaction to various obstacles that developed in more sequential forms of project organization. For example, as technology projects grow in complexity, end users tend to have difficulty defining the long-term requirements without being able to view progressive prototypes. Projects that develop in iterations can constantly gather feedback to help refine those requirements.
Agile management also offers a simple framework promoting communication and reflection on past work amongst team members.[101] Teams who were using traditional waterfall planning and adopted the agile way of development typically go through a transformation phase and often take help from agile coaches who help guide the teams through a smoother transformation. There are typically two styles of agile coaching: push-based and pull-based agile coaching. Here a "push-system" can refer to an upfront estimation of what tasks can be fitted into a sprint (pushing work) e.g. typical with scrum; whereas a "pull system" can refer to an environment where tasks are only performed when capacity is available.[102] Agile management approaches have also been employed and adapted to the business and government sectors. For example, within the federal government of the United States, the United States Agency for International Development (USAID) is employing a collaborative project management approach that focuses on incorporating collaborating, learning and adapting (CLA) strategies to iterate and adapt programming.[103]
Agile methods are mentioned in the Guide to the Project Management Body of Knowledge (PMBOK Guide 6th Edition) under the Product Development Lifecycle definition:
According to Jean-Loup Richet (research fellow at ESSEC Institute for Strategic Innovation & Services) "this approach can be leveraged effectively for non-software products and for project management in general, especially in areas of innovation and uncertainty." The result is a product or project that best meets current customer needs and is delivered with minimal costs, waste, and time, enabling companies to achieve bottom line gains earlier than via traditional approaches.[104]
Agile software development methods have been extensively used for development of software products and some of them use certain characteristics of software, such as object technologies.[105] However, these techniques can be applied to the development of non-software products, such as computers, medical devices, food, clothing, and music.[106] Agile software development methods have been used in non-development IT infrastructure deployments and migrations. Some of the wider principles of agile software development have also found application in general management[107] (e.g., strategy, governance, risk, finance) under the terms business agility or agile business management. Agile software methodologies have also been adopted for use with the learning engineering process, an iterative data-informed process that applies the learning sciences, human-centered design, and data informed decision-making to support learners and their development.
Agile software development paradigms can be used in other areas of life such as raising children. Its success in child development might be founded on some basic management principles; communication, adaptation, and awareness. In a TED Talk, Bruce Feiler shared how he applied basic agile paradigms to household management and raising children.[108]
Agile practices have been cited as potentially inefficient in large organizations and certain types of development.[109] Many organizations believe that agile software development methodologies are too extreme and adopt a hybrid approach[110] that mixes elements of agile software development and plan-driven approaches.[111] Some methods, such as dynamic systems development method (DSDM) attempt this in a disciplined way, without sacrificing fundamental principles.
The increasing adoption of agile practices has also been criticized as being a management fad that simply describes existing good practices under new jargon, promotes a one size fits all mindset towards development strategies, and wrongly emphasizes method over results.[112]
Alistair Cockburn organized a celebration of the 10th anniversary of the Manifesto for Agile Software Development in Snowbird, Utah on 12 February 2011, gathering some 30+ people who had been involved at the original meeting and since. A list of about 20 elephants in the room ('undiscussable' agile topics/issues) were collected, including aspects: the alliances, failures and limitations of agile software development practices and context (possible causes: commercial interests, decontextualization, no obvious way to make progress based on failure, limited objective evidence, cognitive biases and reasoning fallacies), politics and culture.[113] As Philippe Kruchten wrote:
The "Manifesto" may have had a negative impact on higher education management and leadership, where it suggested to administrators that slower traditional and deliberative processes should be replaced with more "nimble" ones. The concept rarely found acceptance among university faculty.[114]
Another criticism is that in many ways, agile management and traditional management practices end up being in opposition to one another. A common criticism of this practice is that the time spent attempting to learn and implement the practice is too costly, despite potential benefits. A transition from traditional management to agile management requires total submission to agile and a firm commitment from all members of the organization to seeing the process through. Issues like unequal results across the organization, too much change for employees' ability to handle, or a lack of guarantees at the end of the transformation are just a few examples.[115]