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Matthias Heindl
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2010 – 2019
- 2011
- [c12]Thomas Moser, Dietmar Winkler, Matthias Heindl, Stefan Biffl:
Requirements Management with Semantic Technology: An Empirical Study on Automated Requirements Categorization and Conflict Analysis. CAiSE 2011: 3-17 - [c11]Thomas Moser, Dietmar Winkler, Matthias Heindl, Stefan Biffl:
Automating the Detection of Complex Semantic Conflicts between Software Requirements(An empirical study on requirements conflict analysis with semantic technology). SEKE 2011: 729-735
2000 – 2009
- 2007
- [c10]Armin Beer, Matthias Heindl:
Issues in Testing Dependable Event-Based Systems at a Systems Integration Company. ARES 2007: 1093-1100 - [c9]Dindin Wahyudin, Matthias Heindl, Benedikt Eckhard, Alexander Schatten, Stefan Biffl:
In-Time Role-Specific Notification as Formal Means to Balance Agile Practices in Global Software Development Settings. CEE-SET 2007: 208-222 - [c8]Matthias Heindl, Stefan Biffl:
Modeling of Requirements Tracing. CEE-SET 2007: 267-278 - [c7]Alexander Egyed, Paul Grünbacher, Matthias Heindl, Stefan Biffl:
Value-Based Requirements Traceability: Lessons Learned. RE 2007: 115-118 - 2006
- [c6]Matthias Heindl, Franz Reinisch, Stefan Biffl, Alexander Egyed:
Value-Based Selection of Requirements Engineering Tool Support. EUROMICRO-SEAA 2006: 266-273 - [c5]Matthias Heindl, Stefan Biffl:
Risk management with enhanced tracing of requirements rationale in highly distributed projects. GSD@ICSE 2006: 20-26 - 2005
- [c4]Alexander Egyed, Stefan Biffl, Matthias Heindl, Paul Grünbacher:
A value-based approach for understanding cost-benefit trade-offs during automated software traceability. TEFSE@ASE 2005: 2-7 - [c3]Alexander Egyed, Stefan Biffl, Matthias Heindl, Paul Grünbacher:
Determining the cost-quality trade-off for automated software traceability. ASE 2005: 360-363 - [c2]Matthias Heindl, Stefan Biffl:
A case study on value-based requirements tracing. ESEC/SIGSOFT FSE 2005: 60-69 - 2004
- [c1]Stefan Biffl, Matthias Heindl, Martin Auer, Michael Halling:
Tool support for a risk management process - an empirical study on effectiveness and efficiency. IASTED Conf. on Software Engineering 2004: 575-580
Coauthor Index
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