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Software, Volume 5, Issue 1

2026 March - 12 articles

Cover Story: Large Language Models (LLMs) have introduced new possibilities in software engineering, enabling automated code synthesis, testing, and refactoring. However, their practical effectiveness is often limited by their dependence on user-written prompts, the quality and specificity of which vary widely, which can lead to inconsistent or suboptimal outputs. This study proposes an LLM-based code assistance prototype using a Retrieval-Augmented Generation (RAG) framework that automates prompt generation and enriches model responses with contextually relevant external knowledge. This prototype achieved a Code Correctness Score (CCS) of 162.0 and an Average Code Correctness (ACC) of 98.8% for refactoring tasks, compared to CCS 139.0 and ACC 85.3% for generated tests. These results demonstrate improved reliability and reduced reliance on manual prompt engineering for developers. View this paper
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Articles (12)

  • Article
  • Open Access
795 Views
20 Pages

Mobile Software Engineering has emerged as a distinct subfield, raising questions about the transferability of its research findings to general software engineering. This paper addresses the challenge of evaluating the generalizability of mobile-spec...

  • Article
  • Open Access
1,287 Views
29 Pages

Software repositories such as Git are significant sources of metadata about software projects, containing information such as modified files, change authors, and often commentary describing the change. An emerging approach to support software change...

  • Article
  • Open Access
2,430 Views
28 Pages

26 February 2026

Current research in consent management techniques focuses on isolated aspects of data security, privacy, or auditability, but important issues like (i) dynamically integrating regulatory updates into form generation, (ii) support in content generatio...

  • Article
  • Open Access
2 Citations
1,786 Views
20 Pages

Verifying Machine Learning Interpretability and Explainability Requirements Through Provenance

  • Lynn Vonderhaar,
  • Juan Couder,
  • Tyler Thomas Procko,
  • Eva Lueddeke and ,
  • Daryela Cisneros and
  • Omar Ochoa
  • + 1 author+ 0 author

14 February 2026

Machine learning (ML) engineering increasingly incorporates principles from software and requirements engineering to improve development rigor; however, key non-functional requirements (NFRs) such as interpretability and explainability remain difficu...

  • Article
  • Open Access
1 Citations
1,403 Views
27 Pages

12 February 2026

The increasing decentralization of industrial processes in Industry 4.0 necessitates the distribution and coordination of resources such as machines, materials, expertise, and knowledge across organizations in a value chain. To facilitate effective o...

(This article belongs to the Topic Software Engineering and Applications)
  • Article
  • Open Access
955 Views
23 Pages

10 February 2026

The stream pipeline idiom provides a fluent and composable way to express computations over collections. It gained widespread popularity after its introduction in .NET in 2005, later influencing many platforms, including Java in 2014 with the introdu...

  • Article
  • Open Access
7 Citations
4,140 Views
24 Pages

10 February 2026

Modern DevSecOps environments face a persistent tension between accelerating deployment velocity and maintaining verifiable compliance with regulatory, security, and internal governance standards. Traditional snapshot-in-time audits and fragmented co...

(This article belongs to the Special Issue Software Reliability, Security and Quality Assurance)
  • Article
  • Open Access
1,862 Views
28 Pages

Data-Centric Serverless Computing with LambdaStore

  • Kai Mast,
  • Suyan Qu,
  • Aditya Jain,
  • Andrea Arpaci-Dusseau and
  • Remzi Arpaci-Dusseau

21 January 2026

LambdaStore is a data-centric serverless platform that breaks the split between stateless functions and external storage in classic cloud computing platforms. By scheduling serverless invocations near data instead of pulling data to compute, LambdaSt...

  • Article
  • Open Access
1 Citations
2,143 Views
19 Pages

21 January 2026

Background: The implementation of Large Language Models (LLMs) in software engineering has provided new and improved approaches to code synthesis, testing, and refactoring. However, even with these new approaches, the practical efficacy of LLMs is re...

  • Article
  • Open Access
2,257 Views
19 Pages

RoboDeploy: A Metamodel-Driven Framework for Automated Multi-Host Docker Deployment of ROS 2 Systems in IoRT Environments

  • Miguel Ángel Barcelona,
  • Laura García-Borgoñón,
  • Pablo Torner and
  • Ariadna Belén Ruiz

19 December 2025

Robotic systems increasingly operate in complex and distributed environments, where software deployment and orchestration pose major challenges. This paper presents a model-driven approach that automates the containerized deployment of robotic system...

(This article belongs to the Topic Software Engineering and Applications)
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Software - ISSN 2674-113X