Nature-inspired Approaches in Software Faults Identification and Debugging

This paper considers software faults identification along the phases from design to testing and debugging. The following subjects are reviewed and extended: bio-inspired concepts for structuring resilient systems, genetic strategies in test data generation, Ant Colony Optimisation (ACO) algorithms f...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Procedia computer science Jg. 92; S. 6 - 12
Hauptverfasser: Popentiu-Vladicescu, Florin, Albeanu, Grigore
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 2016
Schlagworte:
ACO
AIS
evolutionary testing
mutation testing
software dependability
software testing
unit testing
software testing
unit testing
mutation testing
software dependability
AIS
evolutionary testing
ACO
ISSN:1877-0509, 1877-0509
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper considers software faults identification along the phases from design to testing and debugging. The following subjects are reviewed and extended: bio-inspired concepts for structuring resilient systems, genetic strategies in test data generation, Ant Colony Optimisation (ACO) algorithms for data flow analyzing and testing, artificial immune systems (AIS) based mutation testing, and fault tolerant approaches inspired by immunity principles in order to increase the software dependability. Data collected during software development cycle can be used to understand the software project evolution and its reliability.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2016.07.315