Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria

Research output: Working paper/PreprintPreprint

13 Downloads (Pure)

Abstract

This paper tackles three main issues regarding test design: (1) it proposes a new way to model what to test; (2) it offers a framework for specifying coverage criteria that generalizes previous types of coverage; (3) it outlines a Bayesian approach to an informed exploitation-exploration balance in the context of testing. In addition to the theoretical contribution, we present an empirical evaluation with a proof-of-concept tool that we have developed to support the conceptual advantages and to illustrate practical benefits.
Original languageEnglish
StatePublished - 3 Jan 2022

Keywords

  • cs.SE

Fingerprint

Dive into the research topics of 'Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria'. Together they form a unique fingerprint.

Cite this