A DSL for Defining Feature-Level Quality Constraints and the Aggregation of Evaluation Results in DevOps

Philipp Haindl, Reinhold Plösch

Research output: Working paper and reportsResearch report

Abstract

Quality requirements typically differ among software features, e.g., due to different usage contexts of the features, different impacts of related quality deficiencies onto overall user satisfaction, or long-term plans of the developing organization. For instance, maintainability requirements might be particularly high for software features which are frequently used or bear strategic value for the developing organization. Also, software features where even the smallest delays are perceived as negative by the user will be subjected to specially tight performance requirements. We defined an operational DSL to define software quality requirements as individual feature-level constraints based on quantitative measures. The DSL provides language elements to define the operationalization of measures from external systems, time series operations, time filters, and the automatic evaluation of these feature-level constraints in DevOps based on comparison operators and threshold values. In addition, quality ratings summarize evaluation results of features on an ordinal grading scheme. Likewise, quality gates use these quality ratings to reflect the fitness of software features or the overall software product using different states. Finally, we show an example based on a widely-adopted secure mobile messaging app that illustrates the interplay of the different DSL elements.
Original languageEnglish
Number of pages15
DOIs
Publication statusPublished - Mar 2022

Fields of science

  • 202017 Embedded systems
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 102020 Medical informatics
  • 102022 Software development
  • 102027 Web engineering
  • 102034 Cyber-physical systems
  • 509026 Digitalisation research
  • 502032 Quality management
  • 502050 Business informatics
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Digital Transformation

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