Top Research Papers on Software Engineering

A systematic mapping study about teaching major Software Engineering Trends in project courses reveals that Agile Software Development is the major trend, and points out the possible gaps between Software Industry and Education.

Solid requirements engineering has increasingly been recognized as the key to improved, on-time, and on-budget delivery of software and systems projects. New software tools are emerging that are empowering practicing engineers to improve their requirements engineering habits. However, these tools are not usually easy to use without significant training. Requirements Engineering for Software and Systems, Fourth Edition is intended to provide a comprehensive treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing, and writing requirements for s...

The survey summarizes the technology available in the various phases of the quantum software life cycle, including quantum software requirements analysis, design, implementation, test, and maintenance and covers the crucial issue of quantum software reuse.

A survey to analyze the relevant studies published since 2006 and presents a set of current challenges remaining to be investigated and outline a proposed research road map highlighting key opportunities for future work.

Software Engineering (SE) researchers are increasingly paying attention to organizational and human factors, rather than focusing only on variables that can be directly measured, such as lines of c...

This chapter presents the five iterations of the development of empirical software engineering mainly from a methodological perspective and additionally takes key papers, venues, and books, which are covered in chronological order in a separate section on recommended further readings, into account.

The analysis results that major achievements and future potentials of AI are the automation of lengthy routine jobs in software development and testing using algorithms and the structured analysis of big data pools to discover patterns and novel information clusters and the systematic evaluation of these data in neural networks.

Abstract Selenium (Se), due to its high electronic conductivity and high energy density, has recently attracted considerable interest as a cathode material for rechargeable Li/Na batteries. However, the poor cycling stability originating from the severe shuttle effect of polyselenides hinders their practical applications. Herein, highly stable Li/Na–Se batteries are developed using ultrathin (≈270 nm, loading of 0.09 mg cm −2 ) cetrimonium bromide (CTAB)/carbon nanotube (CNT)/Ti 3 C 2 T x MXene hybrid modified polypropylene (PP) (CCNT/MXene/PP) separators. The hybrid separator can immobilize t...

Socio-Technical Grounded Theory (STGT) is presented, which defines what exactly is meant by an ST research context and presents the STGT guidelines that expand GT's philosophical foundations, provide increased clarity and flexibility in its methodological steps and procedures, and define possible scope and contexts of application.

This account of the OOram methodology for software analysis, design, development, maintenance and reuse shows how to apply role modelling and benefit from its inherent advantages over class modelling and describe large systems through a number of distinct models.

This study considered 248 studies published between January 2010 and March 2020 and identified multiple SE approaches for AI-based systems, which were classified according to the SWEBOK areas.

Why it is important to provide guidance for using generative AI and, thus, integrate it in courses rather than accepting the unsupervised use by students, which can negatively impact the students' learning is pointed out.

The results of a systematic mapping study to identify existing research on soft skills in software engineering and to determine what soft skills are considered relevant to the practice of software engineering are reported.

An integrated set of guidelines for reporting software engineering secondary studies suitable for quantitative systematic reviews, mapping studies, and qualitative reviews, that addresses reporting problems found in current SE SRs are presented.

A critical review of the state of sampling in recent, high-quality software engineering research finds that random sampling is rare; sophisticated sampling strategies are very rare; sampling, representativeness and randomness often appear misunderstood; andSoftware engineering research has a generalizability crisis.

Findings indicate that at this early stage of AI integration, the compatibility of AI tools within existing development workflows predominantly drives their adoption, challenging conventional technology acceptance theories.

From a systematic literature review, it is concluded that researchers need to consider a wider set of perceived diversity aspects for future research, particularly related to SE participants’ race, age, and disability.

In this thesis, there is growing evidence that parametric models employed in practice lack the flexibility to accommodate certai, and the relationship between the design of software and the designs of flexible parametric model is considered.

Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks. Nevertheless, a comprehensive understanding of the application, effects, and possible limitations of LLMs on SE is still in its early stages. To bridge this gap, we conducted a systematic literature review (SLR) on LLM4SE, with a particular focus on understanding how LLMs can be exploited to optimize processes and outcomes. We select and analyze 395 research papers from January 2017 to January 2024 to answer fou...

This paper discusses when and why researchers should use eye trackers as well as how they should use them, and compiles a list of typical use cases—real and anticipated—of eyeTrackers, aswell as metrics, visualizations, and statistical analyses to analyze and report eye-tracking data.