By the same authors

Semantic Mutation Testing for Multi-Agent Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Full text download(s)

Author(s)

Department/unit(s)

Publication details

Title of host publicationThe International Workshop on Engineering Multi-Agent Systems (EMAS)
DatePublished - 20 May 2015
Original languageEnglish

Abstract

This paper introduces semantic mutation testing (SMT) into multiagent
systems. SMT is a test assessment technique that makes changes to the interpretation of a program and then examines whether a given test set has the ability to detect each change to the original interpretation. These changes represent possible misunderstandings of how the program is interpreted. SMT is also a technique for assessing the robustness of a program to semantic changes. This paper applies SMT to three rule-based agent programming languages, namely Jason, GOAL and 2APL, provides several contexts in which SMT for these languages is useful, and proposes three sets of semantic mutation operators (i.e.,
rules to make semantic changes) for these languages respectively, and a set of semantic mutation operator classes for rule-based agent languages. This paper then shows, through preliminary evaluation of our semantic mutation operators for Jason, that SMT has some potential to assess tests and program robustness.

Bibliographical note

© 2015, The Author(s).

Discover related content

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

View graph of relations