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Journal of Systems and Software (JSS)

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Factor de Impacto:
3.8
Editor:
Elsevier
ISSN:
0164-1212
Vistas:
65462
Seguidores:
78

Solicitud de Artículos

Journal of Systems and Software (JSS) is an academic journal published by Elsevier. (ISSN 0164-1212, impact factor 3.8, CCF B).

Aims & Scope For JSS's full CfP including information on Special Issues, Industry, Trends, and Journal First tracks please continue to read for further details. The Journal of Systems and Software publishes papers covering all aspects of software engineering. All articles should provide evidence to support their claims, e.g. through empirical studies, simulation, formal proofs or other types of validation. Submissions should contribute new knowledge for software engineering research and practice, independently of specific application domains. Topics of interest include, but are not limited to: Methods and tools for software requirements, design, architecture, verification and validation, testing, maintenance and evolution Agile, model-driven, service-oriented, open source and global software development Human/social aspects in software engineering and developer experience Artificial Intelligence, data analytics and big data applied in software engineering Metrics and evaluation of software development resources DevOps, continuous integration, build and test automation Software Engineering education Ethical/societal aspects of Software Engineering Software Engineering for AI systems Software Engineering for Sustainability Methods and tools for empirical software engineering research The journal welcomes reports of practical experience for all of these topics, as well as replication studies and studies with negative results. The journal appreciates the submission of systematic literature reviews, mapping studies and meta-analyses. However, these should report interesting and important results, rather than merely providing statistics on publication year, venue etc. Open Science: JSS supports Open Science and reproducible research through the JSS Open Science Initiative. For papers where authors indicate participation, the manuscript is automatically forwarded to the JSS Open Science Board, chaired by Christoph Treude, after acceptance. Following successful review of availability and usability (which does not affect acceptance of the paper), the publisher will add a statement acknowledging validation of the Open Science material and include the paper in JSS’s Open Science collection. If material cannot be shared (e.g., due to NDAs), authors should state this explicitly. Depending on the study, Open Science material may include study protocols, (anonymized) data, analysis scripts, source code, tools, or codebooks. In addition to regular papers, JSS features two special tracks (In Practice, New Ideas and Trends Papers), as well as special issues. In Practice is exclusively focused on work that increases knowledge transfer from industry to research. It accepts: (1) Applied Research Reports where we invite submissions that report results (positive or negative) concerning the experience of applying/evaluating systems and software technologies (methods, techniques and tools) in real industrial settings. These comprise empirical studies conducted in industry (e.g., action research, case studies) or experience reports that may help understanding situations in which technologies really work and their impact. Submissions should include information on the industrial setting, provide motivation, explain the events leading to the outcomes, including the challenges faced, summarize the outcomes, and conclude with lessons learned, take-away messages, and practical advice based on the described experience. Contributing authors from industry are encouraged but not mandatory. (2) Practitioner Insights where we invite experience reports showing what actually happens in practical settings, illustrating the challenges (and pain) that practitioners face, and presenting lessons learned. Problem descriptions with significant details on the context, underlying causes and symptoms, and technical and organizational impact are also welcome. Practitioner insights papers may also comprise invited opinionated views on the evolution of chosen topic areas in practice. In contrast to applied research reports, practitioner insights are limited to four pages and the first author must be from industry. Finally, submissions to this track should be within scope of the journal's above topics of interest and they will be evaluated through industry-appropriate criteria for their merit in reporting useful industrial experience rather than in terms of academic novelty of research results. New Ideas and Trends Papers New ideas, especially those related to new research trends, emerge quickly. To accommodate timely dissemination thereof, JSS introduces the New Ideas and Trends Paper (NITP). NITPs should focus on the systems/software engineering aspects of new emerging areas, including: the internet of things, big data, cloud computing, software ecosystems, cyber-physical systems, green/sustainable systems, continuous software engineering, crowdsourcing, and the like. We distinguish two types of NITPs: A short paper that discusses a single contribution to a specific new trend or a new idea. A long paper that provides a survey of a specific trend, as well as a (possibly speculative) outline of a solution. NITPs are not required to be fully validated, but preliminary results that endorse the merit of the proposed ideas are welcomed. We anticipate revisiting specific new trends periodically, for instance through reflection or progress reports. New Ideas and Trend Papers warrant speedy publication. Special Issue proposals To submit a proposal for a special issue please submit your proposal here to Special Issues Editors Prof. Raffaela Mirandola and Prof. Laurence Duchien. Please visit the special issue guidelines page first to review the proposal guidelines and to download the proposal template required when submitting a proposal. Journal First Initiative Authors of JSS accepted papers have the opportunity to present their work in those conferences that offer a Journal First track. Using this track, researchers may take the best from two worlds: ensuring high quality in the JSS publication (thorough, multi-phase review process of a long manuscript), while getting feedback from a community of experts and fostering possible collaborations during a scientific event. Details may vary from conference to conference, but generally speaking, JSS papers to be presented in a Journal First track must report completely new research results or present novel contributions that significantly extend previous work. The ultimate decision to include a paper in the conference program is up to the conference chairs, not JSS. A JSS paper may be presented only once through a Journal First track. As of today, the list of conferences with which JSS is collaborating, or has collaborated, through a Journal First track, is: ASE, ICSME, SANER, RE, ESEM, PROFES, and APSEC.
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Special Issues

Special Issue on AI Techniques for Performance, Reliability, and Sustainability of Modern Software Systems Día de Entrega: 2026-09-30 Artificial Intelligence (AI) has become an integral part of modern software systems, but its effective application to performance modeling, evaluation, and optimization presents ongoing challenges. Indeed, leveraging AI to deeply understand and improve performance of complex and resource-intensive software systems, including Large Language Models (LLMs) themselves, remains an active area of research. Moreover, a key hurdle is that most modern AI approaches often function as black boxes, lacking the transparency required for actionable performance insights and understanding their limitations. The proliferation of LLMs also highlights the urgent need for advanced and efficient computational platforms. Their significant demands directly translate into increasing infrastructure costs, substantial energy consumption, and associated environmental impacts. Optimizing LLM performance and efficiency is critical for their widespread and sustainable adoption. This special issue seeks to bridge the gap between different disciplines—including optimization, control, and software engineering—to present novel AI techniques for the quantitative analysis and optimization of modern ICT systems, including LLM applications. We aim to explore how AI can enhance performance while simultaneously addressing the critical aspects of energy consumption and cost reduction. The special issue will provide a platform for researchers and practitioners to share insights and experiences at the intersection of AI, performance engineering, and sustainable computing in the context of complex software systems like LLMs. Guest editors: Marin Litoiu Professor and Fellow of the Canadian Academy of Engineering, Electrical Engineering and Computer Science, York University (CA) Emilio Incerto Tenure-track Assistant Professor, IMT School for Advanced Studies Lucca (IT) Daniele Masti Postdoctoral fellow, Gran Sasso Science Institute (IT) Francesco Basciani, Assistant Professor, Gran Sasso Science Institute (IT) Kingsum Chow, Professor, College of Computer Science and Technology, Zhejiang University (CN) Special issue information: Potential topics for this special issue include, but are not limited to: − AI for Performance and Scalability of LLM Systems across architectures and scales − AI for Software Performance Engineering (e.g., code generation, optimization) − Explainable, Interpretable, and Robust AI in Performance Analysis and Optimization − Data-Driven Control and Model Identification for Performance Management − Datasets, Benchmarks, and Evaluation Methodologies for AI Performance Models − AI for Reliability and Dependability Analysis in Complex ICT Systems − Reliability Assessment, Testing, and Validation of AI Models − AI for Automated Performance Tasks (e.g., anomaly detection, root cause analysis, auto-scaling, self-optimization) Manuscript submission information: This special issue welcomes all submissions. Moreover, authors of the papers from the AIPerf and Optimization in the LLM world are encouraged to submit extended versions of their work. Articles must be original and not previously published or under consideration elsewhere. Submissions will be evaluated based on the originality of the problem and/or solution, the technical relevance and applicability of the ideas presented, the relevance to the Special Issue's theme, and the quality of writing and presentation. Each submission will undergo a rigorous peer-review process in accordance with the standards of the Journal of Systems and Software. Each manuscript will be reviewed by three reviewers, with additional reviewers brought in as necessary. Papers that have been previously presented at conferences are required to contain at least 30% new technical content and contributions to be considered for this issue. Authors must also provide any previously published material related to their submission, along with a document outlining the improvements made for the journal extension. As per the policy of the Journal, also the special issue is not accepting Systematic Literature Reviews, Mapping, or Survey studies. Submissions should be prepared according to the Guide for Authors Guide for Authors - Journal of Systems and Software. All manuscripts should be submitted via the Elsevier Editorial System at Submission site for Journal of Systems and Software. During submission, select the article type "VSI:AI4MSS" to ensure proper identification for the special issue. Timeline Submission open date: 16th January 2026 Submission deadline: 30th September 2026
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Special Issue on Bridging AI, Automation, and Sustainability in Software Testing (AST 2026 Selected Papers) Día de Entrega: 2026-10-15 Software pervades industry and digital society, while AI raises both opportunity and complexity. Ensuring reliability at scale demands test automation that is robust, explainable, and resource aware – from test generation and oracles to selection/prioritization and cloud execution. This Special Issue solicits high-quality submissions aligned with “Adapting test automation to the AI era” and invites substantially extended versions of the strongest papers from the 7th International Conference on Automation of Software Test (AST 2026). We particularly encourage evidence-based contributions with industrial relevance and shared artifacts where feasible. Guest editors: Breno Miranda, Federal University of Pernambuco, Brazil. Markus Borg, CodeScene & Lund University, Sweden. Ana Paiva, University of Porto, Portugal. Andy Zaidman, Delft University of Technology, The Netherlands Special issue information: AI for automated testing (including agentic solutions) Testing of AI-based systems Explainable AI for testing Education and training for testing in the AI era Sustainability, resource efficiency, and energy-aware test execution Codeless and low-code test automation DevOps/Agile/CI/CD integration; test-driven development (TDD) Model-based testing; formal methods and model checking Test generation (formal, semi-formal, AI-driven); oracles and metamorphic testing Standardization of test languages, processes, and tools Testing of embedded, reactive, cloud/web, and cyber-physical systems Testing software product lines Domain studies (e.g., healthcare, energy, finance) Empirical/industrial studies, datasets, replications, and benchmarks Metrics for testing (effectiveness, efficiency, coverage) Testing tools Manuscript submission information: All manuscripts and supplementary materials should be submitted through the Elsevier Editorial System: Submission site for Journal of Systems and Software. Submissions should be prepared according to the Guide for Authors posted on the journal’s website: Guide for Authors - Journal of Systems and Software. Please select the article type "VSI:AST 2026 Selected Papers" for this special issue from the “Choose Article Type” pull-down menu during the submission process. Submission deadline: 15th October 2026 Keywords: Software Testing, Automation, Sustainability, Artificial Intelligence https://www.sciencedirect.com/special-issue/333679/bridging-ai-automation-and-sustainability-in-software-testing-ast-2026-selected-papers
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Special Issue on Software Architecture in a Digital Society Día de Entrega: 2027-01-31 This special issue of the Journal of Systems and Software (JSS) invites authors from ECSA 2026 and the broader software architecture community to submit original research papers or substantially extended versions of their conference presentations. The special issue focuses on the role and impact of “software architecture in a digital society". Software architecture plays a pivotal role in designing sustainable, scalable, and adaptable digital systems, influencing both technical, societal and business outcomes. This special issue aims at exploring the principles, practices, and emerging trends that drive architectural decisions, highlighting their tangible impact on system performance, collaboration, and long-term sustainability. We seek contributions that examine how architectural strategies—whether well-established or cutting edge—shape real-world applications across diverse domains, from traditional enterprise systems to rapidly evolving fields such as AI-driven, autonomous applications, and the edge-cloud continuum. Through this special issue, we aim to foster a deeper understanding of the pervasive role of software architecture in addressing contemporary challenges and advancing the state of the art. Guest editors: Prof. Patricia Lago, Vrije Universiteit Amsterdam, the Netherlands Prof. Ana Moreira, NOVA University of Lisbon, Portugal Assoc. Prof. Andrea Janes, Free University of Bozen-Bolzano, Italy Prof. Davide Taibi, University of Southern Denmark in Vejle, Denmark Special issue information: Topics of interest include, but are not limited to: Foundational principles of software architecture Relationship of requirements engineering and software architecture Quality attributes and software architectures Architecture practices for secure, explainable, and trustworthy software Architecture design and analysis Architecture description languages and meta-models Architecture verification and validation Management of architectural knowledge, decisions, and rationale Architecture patterns, styles, perspectives and tactics; reference architectures Architecture viewpoints and views Architecture conformance Architecture quality evaluation Software architecture virtualization and visualization Architecture-centric process models and frameworks Software architecture and agile, incremental, iterative, and continuous development Component-based models and deployment; middleware Software architecture and system architecture Software tools and environments for architecture-centric software engineering Ethics, cultural, economic, business, social, human, and managerial aspects of software architecture Architecture and technical debt Architecting for sustainability-aware software-intensive systems Applying AI and LLMs in software architecture and architecting for AI and LLM-intensive systems Software architecture education Cross-disciplinary approaches to software architecture Architectures for reconfigurable and self-adaptive systems Architectural concerns of autonomic systems Software architecture applied to new and emerging areas, such as the cloud/edge, big data, blockchain, robotics, cyber-physical systems, IoT, autonomous systems, systems-of-systems, energy-aware software, quantum computing, AI-enabled systems Architectural strategies and variability management in software product lines Empirical studies in software architecture Diversity, equity, and inclusion in activities related to software architecture In line with JSS policies, submissions consisting of surveys, literature reviews, or mapping studies on the aforementioned or related topics will not be considered for this special issue and will be desk-rejected. https://www.sciencedirect.com/special-issue/331752/software-architecture-in-a-digital-society
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