Journal Information
Science of Computer Programming (SCP)
http://www.journals.elsevier.com/science-of-computer-programming/
Impact Factor:
1.088
Publisher:
ELSEVIER
ISSN:
0167-6423
Viewed:
6680
Tracked:
8

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Call For Papers
Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design.
The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice.

The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including
• Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software;
• Design, implementation and evaluation of programming languages;
• Programming environments, development tools, visualisation and animation;
• Management of the development process;
• Human factors in software.
• Software aspects of operating systems, system administration and network management.

Special emphasis is given to recent trends in software development, such as software architecture, component-based software development and web-based software engineering. SCP is divided into four tracks. These are: (1) Concepts and methodology, (2) Formal techniques, (3) Experimental software technology, (4) Descriptive software technology.
1) The conceptual track is open for methodological, philosophical and sociological studies on all aspects of computer software production and usage, including ethics.
2) The formal track emphasizes the development and the pragmatic application of formal and semiformal techniques. Submissions which the editors consider mainly mathematical or theoretical in nature, with the preliminary consent of the authors, will formally be forwarded to the sister journal TCS.
3) The experimental track is open for expositions on implementations of and experiments with novel programming languages, systems and methods. It must be emphasized that papers describing new software tools of relevance to SCP are welcome under the strict condition that the source code of the tools is open.
4) The descriptive track deals with observational studies of current software development practices, reporting on new languages,systems and methods, including survey reports on the various themes.

Special Issues:
Science of Computer Programming welcomes Special Issues within its Scope either resulting from conferences or workshops or from dedicated editorial efforts.
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Coordination and Self-Adaptiveness of Software Applications
Submission Date: 2020-02-29

*** Aims and scope *** Nowadays software systems are distributed, concurrent, mobile, and often involve the composition of heterogeneous components and stand-alone (micro)services. Service coordination, service orchestration and self-adaptation constitute the core characteristics of distributed and service-oriented systems. Theoretical/practical approaches to modelling and reasoning about (self-)adaptive behaviour help to simplify the development of complex distributed systems, enable their validation and evaluation, and improve interoperability, reusability and maintainability of such systems. The goal of the this special issue is to allow researchers and practitioners to discuss common problems and present novel solutions in the aforementioned fields. Topics of interest include (but are not limited to) both theoretical and practical solutions for what follows: * Coordination, orchestration, composition and adaptation of components, services or microservices. * Business processes and concurrent system modelling. * Languages and models for component and service interaction, their semantics, expressiveness, validation and verification, type checking, static and dynamic analysis. * Cloud/fog/edge computing, and large-scale distributed systems. * Dynamic software architectures, self-adaptive, self-monitoring and self-organizing systems. * Peer-to-peer and multi-agent systems, and blockchains. * QoS observation, storage, history-based analysis in self-adaptive systems.
Last updated by Dou Sun in 2019-11-24
Special Issue on Application-oriented aspects of graphs and graph transformation
Submission Date: 2020-11-29

The use of graphs and graph-like structures as a formalism for specification and modelling is widespread in all areas of computer science as well as in many fields of computational research and engineering. Relevant examples include software architectures, pointer structures, state space graphs, control/data flow graphs, UML and other domain-specific models, network layouts, topologies of cyber-physical environments, and molecular structures. Often, these graphs undergo dynamic change, ranging from reconfiguration and evolution to various kinds of behaviour, all of which may be captured by rule-based graph manipulation. Thus, graphs and graph transformation form a fundamental universal modelling paradigm that serves as a means for formal reasoning and analysis, ranging from the verification of certain properties of interest to the discovery of fundamentally new insights. Topics of interest include application-oriented aspects of graphs and graph transformation, such as: Analysis and verification of graph transformation systems Automata on graphs and parsing of graph languages Structuring and modularization of graph transformation Hierarchical graphs and decomposition of graphs Parallel, concurrent, and distributed graph transformation Term graph and string diagram rewriting Petri nets and other models of concurrency Business process models and notations Graph databases and graph queries Model-driven development and model transformation Model checking, program analysis and verification, simulation and animation Syntax, semantics and implementation of programming languages, including domain-specific and visual languages Graph transformation languages and tool support Efficient algorithms (e.g. pattern matching, graph traversal, network analysis) Applications and case studies in software engineering (e.g. software architectures, refactoring, access control, and service-orientation) Applications to computing paradigms (e.g. bio-inspired, quantum, ubiquitous, and visual)
Last updated by Dou Sun in 2020-01-04
Special Issue on Application-oriented aspects of graphs and graph transformation
Submission Date: 2020-11-29

The use of graphs and graph-like structures as a formalism for specification and modelling is widespread in all areas of computer science as well as in many fields of computational research and engineering. Relevant examples include software architectures, pointer structures, state space graphs, control/data flow graphs, UML and other domain-specific models, network layouts, topologies of cyber-physical environments, and molecular structures. Often, these graphs undergo dynamic change, ranging from reconfiguration and evolution to various kinds of behaviour, all of which may be captured by rule-based graph manipulation. Thus, graphs and graph transformation form a fundamental universal modelling paradigm that serves as a means for formal reasoning and analysis, ranging from the verification of certain properties of interest to the discovery of fundamentally new insights. Topics of interest include application-oriented aspects of graphs and graph transformation, such as: Analysis and verification of graph transformation systems Automata on graphs and parsing of graph languages Structuring and modularization of graph transformation Hierarchical graphs and decomposition of graphs Parallel, concurrent, and distributed graph transformation Term graph and string diagram rewriting Petri nets and other models of concurrency Business process models and notations Graph databases and graph queries Model-driven development and model transformation Model checking, program analysis and verification, simulation and animation Syntax, semantics and implementation of programming languages, including domain-specific and visual languages Graph transformation languages and tool support Efficient algorithms (e.g. pattern matching, graph traversal, network analysis) Applications and case studies in software engineering (e.g. software architectures, refactoring, access control, and service-orientation) Applications to computing paradigms (e.g. bio-inspired, quantum, ubiquitous, and visual)
Last updated by Dou Sun in 2020-01-04
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