Advertisement
Published in:
2013 | OriginalPaper | Chapter
Towards Practical Runtime Verification and Validation of Self-Adaptive Software Systems
Authors : Gabriel Tamura, Norha M. Villegas, Hausi A. Müller, João Pedro Sousa, Basil Becker, Gabor Karsai, Serge Mankovskii, Mauro Pezzè, Wilhelm Schäfer, Ladan Tahvildari, Kenny Wong
Published in: Software Engineering for Self-Adaptive Systems II
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Software validation and verification (V&V) ensures that software products satisfy user requirements and meet their expected quality attributes throughout their lifecycle. While high levels of adaptation and autonomy provide new ways for software systems to operate in highly dynamic environments, developing certifiable V&V methods for guaranteeing the achievement of self-adaptive software goals is one of the major challenges facing the entire research field. In this chapter we (i) analyze fundamental challenges and concerns for the development of V&V methods and techniques that provide certifiable trust in self-adaptive and self-managing systems; and (ii) present a proposal for including V&V operations explicitly in feedback loops for ensuring the achievement of software self-adaptation goals. Both of these contributions provide valuable starting points for V&V researchers to help advance this field.