The effect of Test-Driven Development and Behavior-Driven Development on Project Success Factors: A Systematic Literature Review Based Study

Abushama, Hisham; Alassam, Hanaa Altigani; Elhaj, Fatin A.

doi:10.1109/iccceee49695.2021.9429593

Cited by 7 publications

(3 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BDD is a widely adopted, test-first Agile testing practice for specifying system behavior through tests. It promotes collaboration among software developers, quality assurance analysts, and business stakeholders [1] [5] [35]. BDD utilizes the Gherkin language [2] [33], a semi-structured natural language, to express the acceptance criteria of user stories in human-readable acceptance tests written as scenarios framed by the Given, When, Then keywords [3].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation and Insights Into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

Karpurapu,

Myneni,

Nettur

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Behavior-driven development (BDD) is an Agile testing methodology fostering collaboration among developers, QA analysts, and stakeholders. In this manuscript, we propose a novel approach to enhance BDD practices using large language models (LLMs) to automate acceptance test generation. Our study uses zero and few-shot prompts to evaluate LLMs such as GPT-3.5, GPT-4, Llama-2-13B, and PaLM-2. The paper presents a detailed methodology that includes the dataset, prompt techniques, LLMs, and the evaluation process. The results demonstrate that GPT-3.5 and GPT-4 generate error-free BDD acceptance tests with better performance. The few-shot prompt technique highlights its ability to provide higher accuracy by incorporating examples for in-context learning. Furthermore, the study examines syntax errors, validation accuracy, and comparative analysis of LLMs, revealing their effectiveness in enhancing BDD practices. However, our study acknowledges that there are limitations to the proposed approach. We emphasize that this approach can support collaborative BDD processes and create opportunities for future research into automated BDD acceptance test generation using LLMs.INDEX TERMS agile software development, behavior driven development, large language model, machine learning, natural language processing, prompt engineering, software testing, test cases, test automation, zero-shot, few-shot.

show abstract

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation and Insights Into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

Karpurapu,

Myneni,

Nettur

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…According to (Gereda, 2020), a leading expert, behavior depends JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) Volume 8 (1) 2023, 416-426 E-ISSN 2614-8021, P-ISSN 2548 418 on a combination of effective forces within the individual and the effective forces of the environment. (Abushama et al, 2021) People who tend to think that their behavior is driven by factors outside themselves are called having an external locus of control, whereas people who think that their behavior is driven by factors within themselves are called an internal locus of control, they are the latter who are seen as more independent and responsible. Take responsibility for his behavior, of hope which assumes that motivation is the product of a combination of the magnitude of a person's desire to get a certain reward (valence), the magnitude of the possibility of completing the required tasks (expectations) and the belief that the achievement will produce the reward he wants (instrumentality) (Douglas et al, 2019).…”

Section: A Introductionmentioning

confidence: 99%

The Trends of Online Reference Choice in Postgraduate Students of FKIP UNIB as a Source of Reference in Writing Scientific Works

Hamzah

Hadiwinarto

Kurniawan

et al. 2023

JMKSP

View full text Add to dashboard Cite

This study aims to reveal the tendency of online reference choices used by Postgraduate students of FKIP UNIB in writing scientific papers. The research method used is the descriptive method. The reachable sample in this study totaled 221 people consisting of 38 third-graduate students and 183 second-graduate students. The collection was carried out using an online questionnaire with Google Forms media and interviews. The results of the study show that in general online journals occupy a very dominant position as references in writing scientific papers. The tendency of its use as a reference is more as a theoretical reference than as a fact, supporting or strengthening research results written in scientific papers. From a language standpoint, journals in Indonesian (L1) tend to be the preferred reference source in writing various types of scientific papers. The driving factors for this are limitations in mastering foreign languages and the desire to quickly complete studies.

show abstract

“…The benefit of BDD lies in its collaborative aspect, allowing individuals representing the business to write test cases for the application. In their research, Abushama et al [18] examined various aspects of TDD and BDD, analyzing their differences in project success. Specifically, they investigated development time, cost, and external quality (which, in their context, represents customer satisfaction).…”

mentioning

confidence: 99%

Exploring the Connection between the TDD Practice and Test Smells—A Systematic Literature Review

Marabesi,

García-Holgado,

García-Peñalvo

2024

Computers

View full text Add to dashboard Cite

Test-driven development (TDD) is an agile practice of writing test code before production code, following three stages: red, green, and refactor. In the red stage, the test code is written; in the green stage, the minimum code necessary to make the test pass is implemented, and in the refactor stage, improvements are made to the code. This practice is widespread across the industry, and various studies have been conducted to understand its benefits and impacts on the software development process. Despite its popularity, TDD studies often focus on the technical aspects of the practice, such as the external/internal quality of the code, productivity, test smells, and code comprehension, rather than the context in which it is practiced. In this paper, we present a systematic literature review using Scopus, Web of Science, and Google Scholar that focuses on the TDD practice and the influences that lead to the introduction of test smells/anti-patterns in the test code. The findings suggest that organizational structure influences the testing strategy. Additionally, there is a tendency to use test smells and TDD anti-patterns interchangeably, and test smells negatively impact code comprehension. Furthermore, TDD styles and the relationship between TDD practice and the generation of test smells are frequently overlooked in the literature.

show abstract

The effect of Test-Driven Development and Behavior-Driven Development on Project Success Factors: A Systematic Literature Review Based Study

Cited by 7 publications

References 43 publications

Comprehensive Evaluation and Insights Into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

Comprehensive Evaluation and Insights Into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

The Trends of Online Reference Choice in Postgraduate Students of FKIP UNIB as a Source of Reference in Writing Scientific Works

Exploring the Connection between the TDD Practice and Test Smells—A Systematic Literature Review

Contact Info

Product

Resources

About