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I will present the work: "Modelling Business and Software Ecosystems”, by Xavier Franch, Angelo Susi, Eric S.K. Yu.
Paolo Tonella, Roberto Tiella, Cu Duy Nguyen, "Interpolated N-Grams for Model Based Testing" [ICSE 2014]
Models – in particular finite state machine models – provide an invaluable source of information for the derivation of effective test cases. However, models usually approximate part of the program semantics and capture only some of the relevant dependencies and constraints. As a consequence, some of the test cases that are derived from models are infeasible.
The seminar is about the following paper:
"Coverage is not strongly correlated with test suite effectiveness" by Laura Inozemtseva and Reid Holmes [ICSE'14]
On: "Data-intensive applications, challenges, techniques and technologies: A survey on Big Data" by C.L. Philip Chen and Chun-Yang Zhang; Information Sciences, 2014.
Abstract: Expert finding aims at identifying knowledgeable people to help in decision processes, such as eliciting or analysing requirements in Requirements Engineering. Complementary approaches exist to tackle specific contexts like in forum-based communities, exploiting personal contributions, or in structured organisations like companies, where the social relationships between employees help to identify experts.