Journals in Software general

Future Generation Computer Systems

ISSN: 0167-739X
5 Year impact factor: 5.9
Impact factor: 6.2

The International Journal of eScienceComputing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative. Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning.FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT).The Aims and Scope of FGCS cover new developments in:[1] Applications and application support:Novel applications for novel e-infrastructuresComplex workflow applicationsBig Data registration, processing and analysesProblem solving environments and virtual laboratoriesSemantic and knowledge based systemsCollaborative infrastructures and virtual organizationsMethods for high performance and high throughput computingUrgent computingScientific, industrial, social and educational implicationsEducation[2] Methods and tools:Tools for infrastructure development and monitoringDistributed dynamic resource management and schedulingInformation managementProtocols and emerging standardsMethods and tools for internet computingSecurity aspects[3] Theory:Process specification;Program and algorithm designTheoretical aspects of large scale communication and computationScaling and performance theoryProtocols and their verification

Information Systems

ISSN: 0306-4379
5 Year impact factor: 2.9
Impact factor: 3

Databases: Their Creation, Management and UtilizationInformation systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. We welcome systems papers that focus on implementation considerations in massively parallel data management, fault tolerance, and special purpose hardware for data-intensive systems; theoretical papers that either break significant new ground or unify and extend existing algorithms for data-intensive applications; and manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, which present innovative, high-performance, and scalable solutions to data management problems for those domains.All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organizations are welcome. Theoretical papers should have a clear motivation from applications and clearly state which ideas have potentially wide applicability.Authors of selected articles that have been accepted for publication in Information Systems are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication.As part of its commitment to reproducible science, Information Systems also welcomes experimental reproducible survey papers. Such submissions must: (i) apply a substantial portion of the different surveyed techniques to at least one existing benchmark and perhaps one or more new benchmarks, and (ii) be reproducible (the validation of reproducibility will result in a separate paper following the guidelines of our Reproducibility Editor).In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests. We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.

Information and Software Technology

ISSN: 0950-5849
5 Year impact factor: 4
Impact factor: 3.8

Visit the journal's proposal guidelines to submit a proposal for a special issue (original contributions on a topic within the scope of the journal) or a special section with extended papers from a conference of workshop within the scope of the journal.Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal's scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include: • Software management, quality and metrics, • Software processes, • Software architecture, modelling, specification, design and programming • Functional and non-functional software requirements • Software testing and verification & validation • Empirical studies of all aspects of engineering and managing software development Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information.The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering. Guidelines for conducting systematic reviews are provided here.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center.

Journal of Systems and Software

ISSN: 0164-1212
5 Year impact factor: 3.7
Impact factor: 3.7

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. Topics of interest include, but are not limited to: Methods and tools for software requirements, design, architecture, verification and validation, testing, maintenance and evolutionAgile, model-driven, service-oriented, open source and global software developmentApproaches for cloud/fog/edge computing and virtualized systemsHuman factors and management concerns of software developmentArtificial Intelligence, data analytics and big data applied in software engineeringMetrics and evaluation of software development resourcesDevOps, continuous integration, build and test automationBusiness and economic aspects of software development processesSoftware Engineering educationEthical/societal aspects of Software EngineeringSoftware Engineering for AI systemsSoftware 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.JSS supports Open Science and reproducible research. Therefore, authors are encouraged to make Open Science material available at the time of submission and after acceptance of their manuscript, e.g., by submitting artifacts related to a study to an archived open repository (such as arXiv.org, zenodo.org, Mendeley, etc.). Also, authors are encouraged to explicitly reference Open Science material in their manuscript (e.g., via a DOI from the open repository). If authors are not able to disclose any material (for example, industrial data subject to non-disclosure agreements), we encourage authors to explicitly acknowledge this by including a short statement in their manuscript. Depending on the type of research presented in a manuscript, Open Science material could include study protocols, (anonymized) raw or analyzed data, data analysis scripts, source code, customized tools and infrastructures, experimental material, codebooks, etc. If authors agree to participate in the JSS Open Science Initiative, after the acceptance of a manuscript, they will be invited to submit a link to Open Science material for review by the JSS Open Science Board. After a successful review (which does not impact the acceptance of the manuscript) considering availability and usability of the material, the publisher will add a statement to the final version of the manuscript acknowledging that the Open Science package was validated by the JSS Open Science Board.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.

Pervasive and Mobile Computing

ISSN: 1574-1192
5 Year impact factor: 3.4
Impact factor: 3

Special Issue Proposal Note PMCJ exclusively reviews Special Issue proposal forms submitted here through the designated submission system. Proposals submitted via any other means will not be considered for review. For more information on how to prepare and submit a SI proposal please check https://www.elsevier.com/physical-sciences-and-engineering/computer-science/journals/how-to-prepare-a-special-issue-proposal.Aims and Scope As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral to our daily lives. Tremendous advancements in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoT) to ubiquitous connectivity through wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including mobile edge/fog/cloud, data analytics and machine learning) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing.Such cutting-edge pervasive technologies and paradigms have led to the convergence of cyber-physical-human systems with applications to smart environments (e.g., smart homes and cities, smart grid, smart transportation, smart health, smart agriculture) with the goal to improve human experience and quality of life without explicit awareness of the underlying communications and computing technologies. Additionally, the huge amount of (real-time) data collected via pervasive devices coupled with advanced data analytic, machine learning and AI (Artificial Intelligence) techniques for reliable prediction and decision-making are making breakthrough research in pervasive computing and applications, such as self-driving cars, predictive maintenance in the industry 4.0 environments, mobile recommendation systems, etc.The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to: Pervasive Computing and Communications Architectures and ProtocolsPervasive, Mobile and Wearable Computing Systems and ServicesCyber-Physical Systems and Cyber-Physical-Human SystemsSmart Systems and Applications (smart homes, smart cities, smart manufacturing, smart transportation, smart grid, smart health, smart agriculture, etc.)Human-centric Intelligent SystemsCognitive ComputingTrustworthy AI in Pervasive SystemsMachine Learning and Deep Learning in Pervasive and Mobile ComputingFederated, Distributed and Embedded learning, Learning at-the-edge in Pervasive SystemsLearning on Streaming Data and Continual Learning in Pervasive and Mobile SystemsBig Data and Data Analytics in Pervasive Computing SystemsInternet of Things and Social Internet of ThingsInternet of People and Internet of VehiclesEdge, Fog, Mobile Cloud and Opportunistic Computing in Pervasive and Mobile SystemsEnabling Pervasive Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks)Wireless Sensors Networks and RFID TechnologiesUrban Sensing and Mobile CrowdsensingParticipatory and Social SensingMachine-to-Machine and Device-to-Device CommunicationsPositioning, Localization and Tracking TechnologiesActivity Recognition and TrackingContext-aware ComputingLocation-based Services and ApplicationsPervasive Service Creation, Composition, Discovery, Management, and DeliveryHuman User Interfaces and Interaction ModelsTrust, Reliability, Security, and Privacy in Pervasive and Mobile Computing SystemsPerformance Evaluation of Pervasive and Mobile Computing Systems

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health