A Study of Framework of Behavioural Driven Development: Methodologies, Advantages, and Challenges (original) (raw)
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A Study of the Characteristics of Behaviour Driven Development
2011 37th EUROMICRO Conference on Software Engineering and Advanced Applications, 2011
Behaviour Driven Development (BDD) has gained increasing attention as an agile development approach in recent years. However, characteristics that constituite the BDD approach are not clearly defined. In this paper, we present a set of main BDD charactersitics identified through an analysis of relevant literature and current BDD toolkits. Our study can provide a basis for understanding BDD, as well as for extending the exisiting BDD toolkits or developing new ones.
Towards a Taxonomy for Applying Behavior-Driven Development (BDD)
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Behavior-Driven Development (BDD) is a topic currently much talked about, especially in the agile community. Small scale examples of BDD suggest an intuitive and easy use, but experience shows that in practice, especially large projects, its application becomes elaborate and challenging. This paints an inconsistent picture about BDD. So, what are the requirements for a successful application of BDD? We have identi ed, discussed, and classi ed the core aspects of applying BDD. Depending on the application context, an aspect can speak for or against the use of BDD. These aspects and their pro and contra arguments are this article's main contribution. Everyone can use these aspects to decide whether and how to use BDD in their individual project context.
Adapting Behavior Driven Development (BDD) for large-scale software systems
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Context: Large-scale software projects require interaction between many stakeholders. Behaviordriven development (BDD) facilitates collaboration between stakeholders, and an adapted BDD process can help improve cooperation in a large-scale project. Objective: The objective of this study is to propose and empirically evaluate a BDD based process adapted for large-scale projects. Method: A technology transfer model was used to propose a BDD based process for large-scale projects. We conducted six workshop sessions to understand the challenges and benefits of BDD. Later, an industrial evaluation was performed for the process with the help of practitioners. Results: From our investigations, understanding of a business aspect of requirements, their improved quality, a guide to system-level use-cases, reuse of artifacts, and help for test organization are found as benefits of BDD. Practitioners identified the following challenges: specification and ownership of behaviors, adoption of new tools, the software projects' scale, and versioning of behaviors. We proposed a process to address these challenges and evaluated the process with the help of practitioners. Conclusion: The evaluation proved that BDD could be adapted and used to facilitate interaction in large-scale software projects in the software industry. The feedback from the practitioners helped in improving the proposed process.
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Agile development embodies a distancing from traditional approaches, allowing an iterative development that easily adapts and proposes solutions to changing requirements of the clients. For this reason, the industry has recently adopted the use of its practices and techniques, e.g., Test-Driven Development (TDD), BehaviorDriven Development (BDD), amongst others. These techniques promise to improve the software quality and the productivity of the programmers; therefore, several experiments, especially regarding TDD, have been carried out within academia and in industry. These show variant results (some of them with positive effects and others not so much). The main goal of this work is to verify the impact made by the TDD and BDD techniques in software development by analyzing their main promises regarding quality and productivity. We aim to conduct the experience in academia, with a group of students from the Systems Engineering Degree of the Universidad Técnica del Norte, Ecuador. ...
Characterising the Quality of Behaviour Driven Development Specifications
Characterising the Quality of Behaviour Driven Development Specifications, 2020
Behaviour Driven Development (BDD) is an agile testing technique that enables software requirements to be specified as example interactions with the system, using structured natural language. While (in theory) being readable by non-technical stakeholders, the examples can also be executed against the code base to identify behaviours that are not yet correctly implemented. Writing good BDD suites, however, is challenging. A typical suite can contain hundreds of individual scenarios, that must correctly specify the system as a whole as well as individually. Despite much discussion amongst practitioners and in the blogosphere, as yet no formal definition of what makes for a high quality BDD suite has been given. To shed light on this, we surveyed BDD practitioners, asking for their opinions on the quality criteria that are important for BDD suites. We proposed, and asked for opinions on, four quality principles, and gave practitioners the option to add more principles of their own. This paper reports on the results of the survey, and presents an approach to defining BDD suite quality.
Filling the gap between business process modeling and behavior driven development - 1005.4975
Firstly a historical perspective of the evolution of previous proposals from which this one emerged will be presented, and then the reasons to change from Model Driven Development (MDD) to BDD will be presented also in a historical perspective. Finally the proposal of using FSM, specifically by using UML Statechart diagrams, will be presented, followed by some conclusions.
Maintaining Behaviour Driven Development Specifications: Challenges and Opportunities
In Behaviour-Driven Development (BDD) the behaviour of a software system is specified as a set of example interactions with the system using a “Given-When-Then” structure. These examples are expressed in high level domain-specific terms, and are executable. They thus act both as a specification of requirements and as tests that can verify whether the current system implementation provides the desired behaviour or not. This approach has many advantages but also presents some problems. When the number of examples grows, BDD specifications can become costly to maintain and extend. Some teams find that parts of the system are effectively frozen due to the challenges of finding and modifying the examples associated with them. We surveyed 75 BDD practitioners from 26 countries to understand the extent of BDD use, its benefits and challenges, and specifically the challenges of maintaining BDD specifications in practice. We found that BDD is in active use amongst respondents, and that the use of domain specific terms, improving communication among stakeholders, the executable nature of BDD specifications, and facilitating comprehension of code intentions are the main benefits of BDD. The results also showed that BDD specifications suffer the same maintenance challenges found in automated test suites more generally. We map the survey results to the literature, and propose 10 research opportunities in this area.
Procedia Computer Science, 2019
In the process of software development, a testing phase is an important step for detecting the errors. In order to produce a reliable application, this paper discusses the utilization of a combination from two different testing methods, Test-Driven Development (TDD) and Behavior Driven Development (BDD). TDD testing method is a process with a high percentage of code which is tested automatically. However, it could lead to an error when the parameters of the features are changed. Meanwhile, the BDD testing method is a testing method that could perform successfully despite changes to the parameters of the features. This paper discusses the combination of TDD and BDD testing methods, which is called as T-BDD method. By implementing T-BDD into the Vixio backend system, this paper successfully shows that it could be performed to achieve a high percentage of test-coverage while it could also adapt when the parameters of the features were changed. This paper also shows that the T-BDD testing method performed better compared to using the TDD testing method only.
Development of Health Software using Behaviour Driven Development - BDD
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The health software industry is facing an immense challenge of managing quality and preventing software failures. Poorly defined requirements are one of the significant cause of health software failures. Agile practices are being increasingly used by the software industry to develop systems on time and within budget with improved software quality and user acceptance. Behaviour-driven development (BDD) is an agile software engineering practice that can help to improve health software quality vastly. BDD achieves this by prioritising the illustration of software's behaviour using ubiquitous language, followed by automated acceptance testing to assess if the illustrated behaviour was achieved. This paper presents a review of BDD literature, including the characteristics of BDD and examines how BDD can benefit health software quality. The paper reviews health software standards and guidelines, to examine their compatibility with a BDD approach. Finally, the paper details future plans for the development of a framework that provides health software companies with a detailed step by step guideline on how to use BDD to develop safer health software.
Comparative study of test driven development with traditional techniques
Test-Driven Development is the evolutionary approach in which unit test cases are incrementally written prior to code implementation. In our research, we will be doing comparative study of Test Driven development with traditional techniques through literature study as well as industrial survey. Through this research, we would like to find out the factors encouraging the use of Test Driven Development and also the obstacles that are limiting the adoption of Test Driven Development in the industry. The TDD method is radically different from the traditional way to create software. In traditional software development models, the tests are written after the code is implemented, in other words we could refer it as test-last. This does not drive the design of the code to be testable. Defining the tests with the requirements, rather than after, and using those tests to drive the development effort, gives us much more clearly picture and share focus on the goal. If tests are written after the implementation, there is a risk that tests are written to satisfy the implementation, not the requirements. An important rule in TDD is: "If you can't write test for what you are about to code, then you shouldn't even be thinking about coding."