Stammdaten

Titel: Extracting Timed Automata from Java Methods
Untertitel:
Kurzfassung:

The verification of the time behavior in distributed, multi-threaded programs is challenging, mainly because modern programming languages only provide means to represent time without a proper semantics. Current approaches to extract time models from source code represent time only as a sequence of events or require developers to manually provide a formal model of the time behavior. This makes it difficult for developers to verify various aspects of their systems, such as timeouts, delays and periodicity of the execution. In this paper, we introduce a definition of the time semantics of the Java programming language. Based on the semantics, we present an approach to automatically extract timed automata and their time constraints from the Java methods source code. First, we detect Java statements which involve time, from which we then extract the timed automata that are directly amenable to the verification of time properties of the methods. We evaluated the accuracy of our approach on ten open source Java projects that heavily use time in their source code. The results show a precision of 98.62% and recall of 95.37% in extracting time constraints from Java code. Finally, we demonstrate the effectiveness of our approach with five reported bugs of four different Apache systems that we could confirm.

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 2017 (Online)
Erschienen in: Proceedings of the 17th International Working Conference on Source Code Analysis and Manipulation (SCAM), IEEE
Proceedings of the 17th International Working Conference on Source Code Analysis and Manipulation (SCAM), IEEE
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 91 - 100

Versionen

Keine Version vorhanden
Erscheinungsdatum: 2017
ISBN (e-book): -
eISSN: 2470-6892
DOI: http://dx.doi.org/10.1109/SCAM.2017.9
Homepage: http://ieeexplore.ieee.org/document/8090142/
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Kategorisierung

Sachgebiete
  • 102022 - Softwareentwicklung
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Software Engineering Research Group (SERG)

Kooperationen

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Beiträge der Publikation

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