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Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
Michael Neumann, Philipp Diebold
https://arxiv.org/abs/2405.01757 https://…

Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
Agile methods are state of the art in software development. Companies worldwide apply agile to counter the dynamics of the markets. We know, that various factors like culture influence the successfully application of agile methods in practice and the sucess is differing from company to company. To counter these problems, we combine two causal models presented in literature: The Agile Practices Impact Model and the Model of Cultural Impact. In this paper, we want to better understand the two fac…

A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
Jirat Pasuksmit, Patanamon Thongtanunam, Shanika Karunasekera
https://arxiv.org/abs/2405.01569

A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
Background: Accurate effort estimation is crucial for planning in Agile iterative development. Agile estimation generally relies on consensus-based methods like planning poker, which require less time and information than other formal methods (e.g., COSMIC) but are prone to inaccuracies. Understanding the common reasons for inaccurate estimations and how proposed approaches can assist practitioners is essential. However, prior systematic literature reviews (SLR) only focus on the estimation pra…

On Using Agent-based Modeling and Simulation for Studying Blockchain Systems
\"Onder G\"urcan
https://arxiv.org/abs/2405.01574 https://

On Using Agent-based Modeling and Simulation for Studying Blockchain Systems
There is a need for a simulation framework, which is develop as a software using modern engineering approaches (e.g., modularity --i.e., model reuse--, testing, continuous development and continuous integration, automated management of builds, dependencies and documentation) and agile principles, (1) to make rapid prototyping of industrial cases and (2) to carry out their feasibility analysis in a realistic manner (i.e., to test hypothesis by simulating complex experiments involving large numbe…

Agile Requirement Change Management Model for Global Software Development
Neha Koulecar, Bachan Ghimire
https://arxiv.org/abs/2402.14595 https://

Agile Requirement Change Management Model for Global Software Development
We propose a noble, comprehensive and robust agile requirements change management (ARCM) model that addresses the limitations of existing models and is tailored for agile software development in the global software development paradigm. To achieve this goal, we conducted an exhaustive literature review and an empirical study with RCM industry experts. Our study evaluated the effectiveness of the proposed RCM model in a real-world setting and identifies any limitations or areas for improvement. …

What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development
Michael Neumann, Klaus Schmid, Lars Baumann
https://arxiv.org/abs/2404.17009

What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development
Context: Cultural aspects are of high importance as they guide people's behaviour and thus, influence how people apply methods and act in projects. In recent years, software engineering research emphasized the need to analyze the challenges of specific cultural characteristics. Investigating the influence of cultural characteristics is challenging due to the multi-faceted concept of culture. People's behaviour, their beliefs and underlying values are shaped by different layers of culture, e.g.,…

AI-augmented Automation for Real Driving Prediction: an Industrial Use Case
Romina Eramo, Hamzeh Eyal Salman, Matteo Spezialetti, Darko Stern, Pierre Quinton, Antonio Cicchetti
https://arxiv.org/abs/2404.02841

AI-augmented Automation for Real Driving Prediction: an Industrial Use Case
The risen complexity of automotive systems requires new development strategies and methods to master the upcoming challenges. Traditional methods need thus to be changed by an increased level of automation, and a faster continuous improvement cycle. In this context, current vehicle performance tests represent a very time-consuming and expensive task due to the need to perform the tests in real driving conditions. As a consequence, agile/iterative processes like DevOps are largely hindered by th…

Hybrid Work meets Agile Software Development: A Systematic Mapping Study
Dron Khanna, Emily Laue Christensen, Saagarika Gosu, Xiaofeng Wang, Maria Paasivaara
https://arxiv.org/abs/2404.09983

Hybrid Work meets Agile Software Development: A Systematic Mapping Study
Hybrid work, a fusion of different work environments that allow employees to work in and outside their offices, represents a new frontier for agile researchers to explore. However, due to the nascent nature of the research phenomena, we are yet to achieve a good understanding of the research terrain formulated when hybrid work meets agile software development. This systematic mapping study, we aimed to provide a good understanding of this emerging research area. The systematic process we follow…

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
Shanthi Karpurapu, Sravanthy Myneni, Unnati Nettur, Likhit Sagar Gajja, Dave Burke, Tom Stiehm, Jeffery Payne
https://arxiv.org/abs/2403.14965

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

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
Shanthi Karpurapu, Sravanthy Myneni, Unnati Nettur, Likhit Sagar Gajja, Dave Burke, Tom Stiehm, Jeffery Payne
https://arxiv.org/abs/2403.14965

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

Elevating Software Quality in Agile Environments: The Role of Testing Professionals in Unit Testing
Lucas Neves, Oscar Campos, Robson Santos, Italo Santos, Cleyton Magalhaes, Ronnie de Souza Santos
https://arxiv.org/abs/2403.13220

Elevating Software Quality in Agile Environments: The Role of Testing Professionals in Unit Testing
Testing is an essential quality activity in the software development process. Usually, a software system is tested on several levels, starting with unit testing that checks the smallest parts of the code until acceptance testing, which is focused on the validations with the end-user. Historically, unit testing has been the domain of developers, who are responsible for ensuring the accuracy of their code. However, in agile environments, testing professionals play an integral role in various qual…

Elevating Software Quality in Agile Environments: The Role of Testing Professionals in Unit Testing
Lucas Neves, Oscar Campos, Robson Santos, Italo Santos, Cleyton Magalhaes, Ronnie de Souza Santos
https://arxiv.org/abs/2403.13220

Elevating Software Quality in Agile Environments: The Role of Testing Professionals in Unit Testing
Testing is an essential quality activity in the software development process. Usually, a software system is tested on several levels, starting with unit testing that checks the smallest parts of the code until acceptance testing, which is focused on the validations with the end-user. Historically, unit testing has been the domain of developers, who are responsible for ensuring the accuracy of their code. However, in agile environments, testing professionals play an integral role in various qual…

This https://arxiv.org/abs/2308.05381 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective
Machine learning (ML) components are being added to more and more critical and impactful software systems, but the software development process of real-world production systems from prototyped ML models remains challenging with additional complexity and interdisciplinary collaboration challenges. This poses difficulties in using traditional software lifecycle models such as waterfall, spiral, or agile models when building \textit{ML-enabled systems}. In this research, we apply a Systems Enginee…