WordNet: a lexical database for English
Communications of the ACM
Automated software testing: introduction, management, and performance
Automated software testing: introduction, management, and performance
ACM Computing Surveys (CSUR)
Program design by informal English descriptions
Communications of the ACM
Using Clustering Algorithms in Legacy Systems Remodularization
WCRE '97 Proceedings of the Fourth Working Conference on Reverse Engineering (WCRE '97)
An Approach to Constructing Feature Models Based on Requirements Clustering
RE '05 Proceedings of the 13th IEEE International Conference on Requirements Engineering
Toward software requirements modularization using hierarchical clustering techniques
Proceedings of the 43rd annual Southeast regional conference - Volume 2
Practical Model-Based Testing: A Tools Approach
Practical Model-Based Testing: A Tools Approach
Semi-automated Test Planning for e-ID Systems by Using Requirements Clustering
ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
TORC: test plan optimization by requirements clustering
Software Quality Control
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Acceptance testing is a time-consuming task for complex software systems that have to fulfil a large number of requirements. To reduce efforts in acceptance testing, we have developed an approach that exploits redundancies and implicit relations in requirements specifications which are based on multi-viewpoint techniques, such as RM-ODP. We use linguistic analysis techniques, requirements clustering algorithms and pattern-based requirements collection for reducing the total number of test cases that are derived from the requirements specification. In particular, we present new capabilities for automatically deriving semi-formal test plans and acceptance criteria from the clustered informal textual requirements. Tool support for automated detection of redundancies and implicit relations is extended by new functionalities regarding measurement and the generation of quality plans. We apply our solution particularly in planning, procurement and acceptance testing of national electronic identification (eID) systems. In summary, we show that linguistic analysis and clustering techniques can help testers in understanding the relations between requirements and for improving test planning.