Are CISQ Reliability Measures Practical? A Research Perspective (Best Paper Award)

  • Johannes Bräuer (Speaker)

Activity: Talk or presentationContributed talkscience-to-science

Description

The Object Management Group (OMG), which is driven by industry, proposes an operational standard for measuring reliability by providing specifications for 29 reliability measures. The goal of this article is to systematically assess whether (1) the provided measurement specifications are suitable to be implemented in a static testing tool used in practice and (2) the measures are suitable for capturing reliability issues in software. Therefore, we implemented the CISQ measures (CISQ is the consortium responsible for driving the quality related topics of the OMG) for Java in our quality measurement tool after defining assumptions resulting from the language independent and at some point imprecise specifications. In format of a case study, the CISQ-based measurement tool has then been applied on several versions of the open source project HSQLDB. The results show that CISQ measures properties that are vital for fulfilling reliability requirements. In the course of the case study, the engineers of HSQLDB fixed a number of issues identified by our tooling as they were considered to be critical. While a number of rule violations are considered to be still problematic, they could not be fixed since the engineers did not have the code ownership. In these cases, they proposed improvement suggestions to the responsible teams.
Period13 Mar 2017
Event titleProceedings of the 2017, 10th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICST 2017), Tokyo, Japan, March 13-17, 2017.
Event typeConference
LocationJapanShow on map

Fields of science

  • 202017 Embedded systems
  • 102006 Computer supported cooperative work (CSCW)
  • 202005 Computer architecture
  • 102027 Web engineering
  • 102 Computer Sciences
  • 202022 Information technology
  • 502032 Quality management
  • 502050 Business informatics
  • 207409 Navigation systems
  • 102020 Medical informatics
  • 102011 Formal languages
  • 102022 Software development
  • 102002 Augmented reality
  • 201305 Traffic engineering
  • 102015 Information systems

JKU Focus areas

  • Management and Innovation
  • Computation in Informatics and Mathematics