Inferring Visual Contracts from Java Programs
Zusammenfassung
In this work, we report about recent research results on ÒInferring Visual Contracts from Java ProgramsÓ, published in [1]. In this paper, we propose a dynamic approach to reverse engineering visual contracts from Java programs based on tracing the execution of Java operations. The resulting contracts give an accurate description of the observed object transformations, their effects and preconditions in terms of object structures, parameter and attribute values, and their generalised specification by universally quantified (multi) objects, patterns, and invariants. We explore potential uses in our evaluation, including in program understanding and testing, and we report on experimental results w.r.t. completeness (recall) and correctness (precision) of extracted contracts.
- Vollständige Referenz
- BibTeX
Alshanqiti, A., Heckel, R. & Kehrer, T.,
(2019).
Inferring Visual Contracts from Java Programs.
In:
Becker, S., Bogicevic, I., Herzwurm, G. & Wagner, S.
(Hrsg.),
Software Engineering and Software Management 2019.
Bonn:
Gesellschaft für Informatik e.V..
(S. 53-54).
DOI: 10.18420/se2019-11
@inproceedings{mci/Alshanqiti2019,
author = {Alshanqiti, Abdullah AND Heckel, Reiko AND Kehrer, Timo},
title = {Inferring Visual Contracts from Java Programs},
booktitle = {Software Engineering and Software Management 2019},
year = {2019},
editor = {Becker, Steffen AND Bogicevic, Ivan AND Herzwurm, Georg AND Wagner, Stefan} ,
pages = { 53-54 } ,
doi = { 10.18420/se2019-11 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Alshanqiti, Abdullah AND Heckel, Reiko AND Kehrer, Timo},
title = {Inferring Visual Contracts from Java Programs},
booktitle = {Software Engineering and Software Management 2019},
year = {2019},
editor = {Becker, Steffen AND Bogicevic, Ivan AND Herzwurm, Georg AND Wagner, Stefan} ,
pages = { 53-54 } ,
doi = { 10.18420/se2019-11 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information
DOI: 10.18420/se2019-11
ISBN: 978-3-88579-686-2
ISSN: 1617-5468
Datum: 2019
Sprache:
(en)
(en)
Typ: Text/Conference Paper

