Titlebook: Search Based Software Engineering; 5th International Sy Günther Ruhe,Yuanyuan Zhang Conference proceedings 2013 Springer-Verlag Berlin Heid

inquisitive

craven

Márcio de Oliveira Barrosocumentation, and ease of integration in a CENELEC process. This paper extends the body of knowledge on formal methods applications in the railway industry, and contributes with a ranked list of tool features considered relevant by railway stakeholders.

易受骗

Mohamed Boussaa,Wael Kessentini,Marouane Kessentini,Slim Bechikh,Soukeina Ben Chikhaimistic and leads to extreme probability values that can be achieved only by schedulers that are unrealistic for parallel systems. This motivates the switch to more realistic classes of schedulers that respect the fact that the individual processes only have partial information about the global syst

爱国者

Lionel Briand,Yvan Labiche,Kathy Chention. In addition, the proposed approach provides a lightweight notation for the programmer to control copying behavior..We have implemented our method in Sim, a new language for the development of safety-critical software. Our validation cases suggest that our aliasing-free language allows one to v

glomeruli

Erik M. Fredericks,Andres J. Ramirez,Betty H. C. Chenging of the document consistency..In this paper, we present how a specific software-engineering certification standard, namely CENELEC 50128, can be modeled inside .. Based on an ontology covering a substantial part of this standard, we present how . can be applied to a certification case-study in th

Stress

Grasping

Rim Mahouachi,Marouane Kessentini,Mel Ó Cinnéideessed and modified using a refinement calculus-style ., which may be optionally paired with event synchronisation. The semantics of the extended language, preserves the original CSP rules. The approach we present is novel in that state is part of the process, rather than a meta-level construct appea

走调

Reza Matinnejad,Shiva Nejati,Lionel Briand,Thomas Bruckmann,Claude Poulles (more concretely, (un)reachability properties) into account to determine which changes may cause regression bugs where. Our extensive evaluation confirms that for all considered conditional model checkers our proposed difference detector improves the effectiveness and efficiency of difference ver