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.
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.
Original language | English |
---|---|
Title of host publication | Engineering Multi-Agent Systems |
Subtitle of host publication | Third International Workshop, EMAS 2015 |
Editors | Matteo Baldoni, Luciano Baresi, Mehdi Dastani |
Place of Publication | Switzerland |
Publisher | Springer |
Pages | 131 to 152 |
Volume | 9318 |
ISBN (Electronic) | 978-3-319-26184-3 |
ISBN (Print) | 978-3-319-26183-6 |
DOIs | |
Publication status | Published - 20 May 2015 |
Publication series
Name | Lecture Notes in Computer Science (LNCS) |
---|---|
Publisher | Springer |
Volume | 9318 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Name | Lecture Notes in Artificial Intelligence |
---|---|
Publisher | Springer |
Volume | 9318 |