By the same authors

Systematic evaluation of test failure results

Research output: Contribution to conferencePaperpeer-review


  • Ilinca Ciupa
  • L.L. Liu
  • Manuel Oriol
  • Andreas Leitner
  • R. Borca-Muresan


Publication details

DatePublished - 2007
Original languageUndefined/Unknown


Systematic software testing provides an important source of software failure analysis. The field suffers, however, from insufficiently reproducible results, lack of standard credible data, and insufficiently explicit assumptions. The present article attempts to provide an objective basis for failure analysis through an automatic testing framework (AutoTest) for contract-equipped software. We present five principles for scientific failure analysis, a set of reproducible test results, and a first analysis of their consequences for software development. 1 Testing strategies and their purpose The area of software testing provides one of the best possible illustrations of the lack of credible large-scale failure analysis highlighted by the call for proposals for this workshop.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations