Details

Autor(en) / Beteiligte

• Wijesiriwardana, C.
• Ghezzi, G.
• Gall, H.

Titel

A Guided Mashup Framework for Rapid Software Analysis Service Composition

Ist Teil von

• 2012 19th Asia-Pacific Software Engineering Conference, 2012, Vol.1, p.725-728

Ort / Verlag

IEEE

Erscheinungsjahr

2012

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Historical data about software projects is stored in repositories such as version control, bug tracking and mailing lists. Analyzing such data is vital to discover unthought-of-yet-interesting insights of a software project. Even though a wide range of software analysis techniques are already available, integration of such analyses is yet to be systematically addressed. Inspired from the recently introduced concept of Software as a Service, our research group investigated the concept of Software Analysis as a Service (SOFAS), a distributed and collaborative software analysis platform. SOFAS allows software analyses to be accessed, composed into workflows, and executed over the Internet. However, traditional service composition is a complex, time consuming and error-prone process, which requires experts in both composition languages and existing standards. In this paper, we propose a mashup platform to address the problem of software analysis composition in a light-weight, programming-free process-centric way. Our proposed mashup platform provides design-time guidance to the users throughout the mashup design by integrating a continuous feedback mechanism. It requires exploiting semantic web technologies and Software Engineering Ontologies (SEON).