Journal Information

Journal of Systems and Software (JSS)

CCF: B Impact Factor: 3.8
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Publisher:
Elsevier
ISSN:
0164-1212
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Call For Papers

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 Software Engineering for Trustworthy Systems and Advanced Applications Submission Date: 2026-12-10 This special issue of the Journal of Systems and Software (JSS) invites authors from the Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2026) and the broader software engineering community to submit original research papers or substantially extended versions of their conference presentations. The special issue focuseson the challenges of developing and operating complex, intelligent software systems, especially in a world that is increasingly data- and AI-driven. This special issue aims at bringing together different aspects of Software Engineering for trustworthy intelligent software systems by collecting cutting-edge research results in the area of software engineering and advanced applications in information technology for software-intensive systems (excluding literature surveys and mapping studies). We seek contributions that focus on how to develop software systems that can operate in critical, data-intensive, and social contexts, and consider trustworthiness and explainability as first class citizens during the entire software engineering life-cycle. Guest editors: Prof. Christian Berger, University of Gothenburg, Sweden Prof. Verena Klös, Carl von Ossietzky Universität Oldenburg, Germany Special issue information: Topics of interest include, but are not limited to: ● Explainable and Trustworthy Software Systems, e.g. ○ Theories, models, methods, architectures and tools for explainability, transparency, and interpretability in software and AI systems ○ Fairness, accountability, and responsible AI in system design and operation ○ Software ethics, governance, and regulatory compliance ○ Security, privacy, and vulnerability management as enablers of trustworthiness ○ Human factors, transparency, and governance in software-intensive socio-technical systems ○ Applications of explainable and trustworthy principles in emerging domains, including digital health, finance, law, sustainability, and critical infrastructures ● Data- and AI-driven Software Engineering, e.g. ○ Methods, tools, applications and lessons learned of AI for software engineering ○ Design methods, approaches and tools for developing and ML/DL models ○ Engineering aspects of training, transfer learning and reinforcement learning ○ Automated experimentation and autonomously improving systems ○ Predictive methods and estimation in software development,operations, and evolution ● Software processes for data-driven and intelligent software systems, e.g. ○ Software process improvement and process standards ○ Process modeling, composition, and enactment/simulation ○ Quantitative models and big data for development processes and products ○ Continuous delivery/integration and DevOps, software process and product evolution with feedback from operation ● Software management and human factors for data-driven and intelligent software systems, e.g. ○ Management in Agile Contexts ○ Management for decentralized software Architectures (Microservice-based, reactive, event-based software architectures) ○ Software governance and DevOps ○ Green software management ● Model-Driven Development and Modeling Languages for modern Software Systems, e.g. ○ Engineering of modeling languages (abstract/concrete syntax,semantics, components, modules, …) ○ Foundations of modeling language design, composition, reuse, and evolution ○ Integration of heterogeneous modeling language (e.g., from different domains) ○ Model transformation languages and model transformations ● Data Analytics and Mining of open datasets for Software process and product improvement, e.g. ○ Methods, tools, and applications of software analytics or mining software repositories for software process and product improvement ○ Visualization methods for representing software data that can support software engineering processes including program comprehension, software testing, refactoring, performance analysis, etc. ○ Methods and tools that use software data for the specification, design, development, quality assurance, deployment, and operation of software systems and products ○ Repository mining and management for modelling artefacts ○ Model searching, indexing, retrieval, storage, and automated program repair ● Software quality and technical debt in data-driven systems, e.g. ○ Quality assurance/monitoring, inspections, testing ○ Technical debt management ○ Social debt management ● Software-intensive intelligent cyber-physical systems, e.g. ○ Models, architectures, and design patterns for CPS ○ Middleware and runtime environment for CPS ○ Testing, validation and verification of CPS ○ Timing and other resource analysis ○ Context-awareness, self-adaptivity, intelligence of CPS ● Emerging Computing Technologies, e.g. ○ AI on the cloud continuum ○ Quantum computing ○ neuromorphic computing ○ photonics-based computing ● Practical aspects of Software Engineering and industrial insights 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. Manuscript submission information: This is an open call for the Software Engineering research community. Authors of SEAA 2026 are encouraged to submit high-quality, original work that has not been published previously and is not under consideration by other journals or conferences.Submissions that extend earlier publications are welcome, provided the new manuscript contains at least 30% new material. In such cases, authors should clearly explain the differences from the prior version(s) in the introduction and submit (as supplementary material) the previously published articles together with a summary document explaining the enhancements made in the journal version. 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: Trustworthy SE&Adv. Apps" for this special issue from the “Choose Article Type” pull-down menu during the submission process. Submission deadline: 10 December 2026 https://www.sciencedirect.com/special-issue/336916/software-engineering-for-trustworthy-systems-and-advanced-applications
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Special Issue on Bridging AI, Automation, and Sustainability in Software Testing (AST 2026 Selected Papers) Submission Date: 2026-12-15 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 December 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 Submission Date: 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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Special Issue on Reliable and Trustworthy Automated Software Engineering Submission Date: 2027-05-31 Modern software engineering increasingly relies on automation. Automated techniques and tools now support developers across the software lifecycle, including code generation, dependency management, vulnerability detection, testing, program repair, maintenance, documentation, and compliance checking. At the same time, automation raises new challenges for trustworthiness, reliability, transparency, accountability, provenance, security, and assurance. AI-assisted development tools, automated development agents, complex software supply chains, and large-scale dependency ecosystems make it essential to understand not only whether automated software engineering techniques are effective, but whether their outputs and processes can be trusted, inspected, reproduced, secured, and governed. This Special Issue seeks high-quality contributions that advance the state of the art in Reliable and Trustworthy Automated Software Engineering. We especially encourage substantially extended versions of papers presented at the RASE 2026 workshop, at the ASE 2026 main conference, and at other leading software engineering (e.g., ICSE, FSE, ISSTA) and cybersecurity (e.g., USENIX Security, ACM CCS) conferences. The call is equally open to the broader software engineering, cybersecurity, and artificial intelligence communities, and submissions with no connection to any conference are evaluated on exactly the same terms. Guest editors: Dr. Gregorio Dalia, University of Sannio, Italy Dr. Andrea Di Sorbo, University of Sannio, Italy Dr. Francesco Pagano, University of Verona, Italy Dr. Sebastiano Panichella, AI4I, Italy Dr. Leonardo Regano, University of Cagliari, Italy Dr. Corrado Aaron Visaggio, University of Foggia, Italy Special issue information: We invite original, high-quality submissions on foundations, techniques, tools, empirical studies, and practical experience related to reliable and trustworthy automated software engineering. Topics include, but are not limited to: Automation for Software Transparency Automated generation, validation, verification, and evolution of Software Bills of Materials and AI Bills of Materials Dependency analysis, supply-chain visibility, and provenance tracking Software composition analysis Automated traceability across software artifacts, models, dependencies, and development pipelines Behavioral transparency through automated logging, monitoring, and runtime explainability Automated compliance checking and transparency auditing Transparency mechanisms for AI-assisted software development tools and pipelines Automation for regulatory compliance and auditability Automation for Software Trustworthiness Automated vulnerability detection, localization, prioritization, and repair Automated prevention and mitigation of software supply-chain attacks Protection against dependency confusion, package hallucination, poisoning, and tampering Automated integrity verification and tamper detection Secure-by-construction and policy-driven code generation Security mechanisms for AI-generated code and automated software artifacts Automated hardening, sandboxing, isolation, and software protection techniques Trustworthiness of ML-enabled and AI-assisted software systems Trustworthy Automation Verification and validation of automated software engineering tools Reliability, robustness, and accountability of AI-based code generation and program repair Empirical studies of automation-induced risk Human-in-the-loop approaches for trustworthy automation Explainability and transparency of automated software engineering tools Accountability and governance mechanisms for automated development agents Confidential computing and its impact on automated software development Trustworthy automation in industrial and safety-critical contexts Foundations and Evaluation Metrics and benchmarks for trustworthy automated software engineering Empirical evaluation of AI-assisted development tools Benchmarking trustworthiness properties of automated software engineering systems Large-scale studies of software supply-chain risk Industrial case studies and experience reports Replication studies, negative results, and reproducibility studies Datasets, benchmark suites, and open-science artifacts Evaluation frameworks for reliability, transparency, security, and accountability All submissions must explicitly include an empirical validation, such as a controlled experiment, a case study, or a comprehensive head-to-head comparison against approaches already in practice. Comparison to the literature, or reference to an empirical validation reported in prior work, does not satisfy this requirement. Manuscripts without an empirical validation will be desk-rejected. Manuscripts that extend a paper previously presented at RASE 2026, at the ASE 2026 main conference, or at any other venue must contain at least 30% new technical material; additional text or further examples alone do not constitute an extension. Authors should explain the differences in the introduction and submit the previously published version as supplementary material, together with a summary of the enhancements made in the journal version. In line with JSS policies, survey articles, systematic literature reviews, and mapping studies will not be considered for this special issue and will be desk-rejected, with a recommendation to resubmit to the regular JSS queue. Submissions open on 2 November 2026. Manuscripts are handled as they arrive, and accepted articles are published online individually. Final decisions on each submission are made by the Guest Editors together with the Editors-in-Chief and the Special Issues Editors of the Journal of Systems and Software. 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: Reliable Automated SE" for this special issue from the "Choose Article Type" pull-down menu during the submission process. Submission deadline: 31 May 2027 https://www.sciencedirect.com/special-issue/337660/special-issue-on-reliable-and-trustworthy-automated-software-engineering
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