Continuous Data-driven Software Engineering - Towards a Research Agenda
نویسندگان
چکیده
منابع مشابه
Towards Data-driven Software Engineering Skills Assessment
Today’s software engineers often work in teams to develop complex software systems. Therefore, successful software engineering in practice not only require team members to possess sound programming skills such as analysis, design, coding, and testing, but also soft skills such as communication, collaboration, and self-management, etc. However, existing examination based assessments are often in...
متن کاملModel-Driven Software Evolution: A Research Agenda
Software systems need to evolve, and systems built using model-driven approaches are no exception. What complicates model-driven engineering is that it requires multiple dimensions of evolution. In regular evolution, the modeling language is used to make the changes. In meta-model evolution, changes are required to the modeling notation. In platform evolution, the code generators and applicatio...
متن کاملModel-Driven Engineering of Service-Oriented Systems: A Research Agenda
Service-oriented architectures (SOA) are an essential platform to provide infrastructures that support widespread collaboration between organizations. These service-oriented systems are a new context for software developers, who must now be equipped with new development methods and technologies. This new context has specific requirements, such as better collaboration and communication between b...
متن کاملTowards a Research Agenda
The article provides a review of the adoption of a resource-based view of the firm (RBV) in eBusiness literature and, then, suggests directions for future research. First, a distinction is drawn between Internet resources and eBusiness capabilities. Second, the relationship between Internet resources and eBusiness value is emphasized. Third, the relationships among Internet resources, eBusiness...
متن کاملTowards a Data-driven Ontology Engineering Framework
The dynamic nature of ontology requires a new methodology to discover the evolving semantics of a particular conceptualization and maintain the novelty of specific ontology with minimal human intervention. This paper posits a conceptual framework that supports a data-driven, iterative, and self-correcting ontology engineering methodology for developing application-oriented and light-weight onto...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM SIGSOFT Software Engineering Notes
سال: 2019
ISSN: 0163-5948
DOI: 10.1145/3356773.3356811