The Thirteenth International Conference on Software Engineering Advances
主办单位：International Academy, Research, and Industry Association ( IARIA )
The International Conference on Software Engineering Advances (ICSEA 2018) continues a series of events covering a broad spectrum of software-related topics. The conference covers fundamentals on designing, implementing, testing, validating and maintaining various kinds of software. Several tracks are proposed to treat the topics from theory to practice, in terms of methodologies, design, implementation, testing, use cases, tools, and lessons learned. The conference topics cover classical and advanced methodologies, open source, agile software, as well as software deployment and software economics and education.
Other advanced aspects are related to on-time practical aspects, such as run-time vulnerability checking, rejuvenation process, updates partial or temporary feature deprecation, software deployment and configuration, and on-line software updates. These aspects trigger implications related to patenting, licensing, engineering education, new ways for software adoption and improvement, and ultimately, to software knowledge management.
There are many advanced applications requiring robust, safe, and secure software: disaster recovery applications, vehicular systems, biomedical-related software, biometrics related software, mission critical software, E-health related software, crisis-situation software. These applications require appropriate software engineering techniques, metrics and formalisms, such as, software reuse, appropriate software quality metrics, composition and integration, consistency checking, model checking, provers and reasoning.
The nature of research in software varies slightly with the specific discipline researchers work in, yet there is much common ground and room for a sharing of best practice, frameworks, tools, languages and methodologies. Despite the number of experts we have available, little work is done at the meta level, that is examining how we go about our research, and how this process can be improved. There are questions related to the choice of programming language, IDEs and documentation styles and standard. Reuse can be of great benefit to research projects, yet reuse of prior research projects introduces special problems that need to be mitigated. The research environment is a mix of creativity and systematic approach which leads to a creative tension that needs to be managed or at least monitored. Much of the coding in any university is undertaken by research students or young researchers. Issues of skills training, development and quality control can have significant effects on an entire department. In an industrial research setting the environment is not quite that of industry as a whole, nor does it follow the pattern set by the university. The unique approaches and issues of industrial research may hold lessons for researchers in other domains.
We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.
Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.
ICSEA 2018 conference tracks:
Trends and achievements
Advanced agile software development; Machine learning-oriented software; Fast data-pressing algorithms; Special software for Industry 4.0 applications; Advances on software product line engineering; Software for Cyber-physical systems; Internet-of-Things (IoT)-oriented software; Software for high speed sensing data; Special software for smart cities and urban computation; Deep-software for data analytics; Software for pervasive systems; Software for (self)-configurable systems; Search-based software; Green-oriented software engineering; Symbolic analysis; Software for automated energy optimization; Mobile applications-oriented software; Interactive Big data processing; Crowd-Sourcing Programming; Open source challenges; Emphasizing non-functional requirements; Cognitive software; Accessibility requirements
Advances in fundamentals for software development
Fundamentals in software development; Software architecture, patterns, frameworks; Software analysis and model checking; Software architectural scalability; Requirements engineering and design; Software design (methodologies, patterns, experiences, views, design by contract, design by responsibilities, etc.); Software modeling (OO, non-OO, MDA, SOA, patterns, UML, etc.); Software process and workflow; Software validation and verification; Software testing and testing tools; Software implementation; Software project management (risk analysis, dependencies, etc.); Component-based software development; Service-oriented software development; Software security-based development; Aspect-oriented software development
Advanced mechanisms for software development
Software composition; Process composition and refactoring; Co-design and codeplay; Software dependencies; Plug&play software; Adaptive software; Context-sensitive software; Policy-driven software design; Software rejuvenation; Feature interaction detection and resolution; Embedded software; Parallel and distributed software
Advanced design tools for developing software
Formal specifications in software; Programming mechanisms (real-time, multi-threads, etc.); Programming techniques (feature-oriented, aspects-oriented, generative programming, agents-oriented, contextual-oriented, incremental, stratified, etc.); Requirement specification languages; Programming languages; Automation of software design and implementation; Software design with highly distributed resources (GRID); Web service based software; Scenario-based model synthesis; Merging partial behavioral models; Partial goal/requirement satisfaction
Software engineering for service computing (SOA and Cloud)
Requirements engineering methods and techniques for service computing; Design methods and techniques for service computing; Service-oriented architecture methods and techniques; Service computing technologies; Service level reuse paradigm; Cloud computing development methods; SaaS development methods and techniques; Service computing paradigm; QoS models for service computing; Testing methods for service computing; Approaches to service process improvement
Advanced facilities for accessing software
Information modeling; GUI related software; Computer-aided software design; Hierarchical APIs; APIs roles in software development; Ontology support for Web Services; Rapid prototyping tools; Embedded software quality; Thread modeling; Flexible Objects; Use cases; Visual Modeling
Software performance modeling; Software performance engineering (UML diagrams, Process algebra, Petri nets, etc.); Software performance requirements; Performance forecast for specific applications; Performance testing; Web-service based software performance; Performance of rule-based software; Methods for performance improvements; Software performance experience reports; Program failures experiences; Error ranking via correlation; Empirical evaluation of defects
Software security, privacy, safeness
Security requirements, design, and engineering; Software safety and security; Security, privacy and safeness in software; Software vulnerabilities; Assessing risks in software; Software for online banking and transactions; Software trace analysis; Software uncertainties; Dynamic detection of likely invariants; Human trust in interactive software; Memory safety; Safety software reuse; High confidence software; Trusted computing; Next generation secure computing
Advances in software testing
Formal approaches for test specifications; Advanced testing methodologies; Static and dynamic analysis; Strategies for testing nondeterministic systems; Testing software releases; Generating tests suites; Evolutionary testing of embedded systems; Algorithmic testing; Exhaustive testing; Black-box testing; Testing at the design level; Testing reactive software; Empirical evaluation
Specialized software advanced applications
Database related software; Software for disaster recovery applications; Software for mobile vehicles; Biomedical-related software; Biometrics related software; Mission critical software; Real-time software; E-health related software; Military software; Crisis-situation software; Software for Bluetooth and mobile phones; Multimedia software applications
Design approaches, techniques, and tools to support Web accessibility; Best practices for evaluation, testing reviews and repair techniques; Accessibility across the entire system lifecycle; Accessibility within e-organizations: good practices and experiences; Industry and research collaboration, learning from practice, and technology transfer; Mobile Internet-Web Accessibility; Developing user interfaces for different devices; Dealing with different interaction modalities; Web authoring guidelines and tools; Accessibility and other core areas related to the Web user experience; (UX): Usability, Findability, Valuability, Credibility, etc.; Innovations in assistive technologies for the Web; Accessible graphic formats and tools for their creation; Adaptive Web accessibility; Accessibility and information architecture; Universally accessible graphical design approaches; User Profiling; Cognitive and behavioral psychology of end user experiences and scenarios
Open source software
Open source software (OSS) methodologies; OSS development and debugging; Security in OSS; Performance of OSS; OSS roles and responsibilities; OSS incremental development; Division of labor and coordination mechanisms; Distribution of decision-making; Operational boundaries; Experience reports and lessons learned; Versioning management; Towards generalizing the OSS methodologies and practices; Open source licensing; Industrial movement towards open source
Agile and Lean approaches in software engineering
Agile software methodologies and practices (extreme programming, scrum, feature-driven, etc.); Agile modeling (serial in the large, iterative in the small); Agile model driven design; Agile methodologies for embedded software; Software metrics for agile projects; Lifecycle for agile software development; Agile user experience design; Agility via program automation; Testing into an agile environment; Agile project planning; Agile unified process
Software deployment and maintenance
Software in small and large organizations; Deploying and maintaining open source software; Software maintenance; Software assurance; Patching; Run-time vulnerability checking; Software rejuvenation; Software updates; Partial or temporary feature deprecation; Multi-point software deployment and configuration; On-line software updates
Software engineering techniques, metrics, and formalisms
Software reuse; Software quality metrics (complexity, empiric metrics, etc.); Software re-engineering (reverse engineering); Software composition; Software integration; Consistency checking; Real-time software development; Temporal specification; Model checking; Theorem provers; Modular reasoning; Petri Nets; Formalisms for behavior specification; Advanced techniques for autonomic components and systems
Enterprise Content Managements (ECMs); Business Intelligence (BI); Enterprise Portals; Business Process Management (BPM); Corporate Performance Management (CPM); Enterprise Data Warehouse; Web Publishing; Cloud Computing; Virtualisation; Data Mining; Workflows; Business Rules Management (BRM); Data Capturing
Software economics, adoption, and education
Patenting software; Software licensing; Software economics; Software engineering education; Academic and industrial views on software adoption and education; Good-to-great in software adoption and improvement; Software knowledge management
Improving productivity in research on software engineering
Developing frameworks to support research; Methods and tools to improving the research environment; Supporting domain specific research needs; Teaching research skills in Computer Science; Experience reports on well developed research processes; Experience reports on empirical approaches to software engineering research; Approaches to supporting higher degree students in their research; Approaches to enlarge the research / teaching nexus to improve academics productivity; Approaches to integration between university research and industry research; Tools to support the research process; Software process improvement framework (CMMI, etc.); Quality improvement framework; Process simulation and measurement; Test improvement framework