On Log Analysis and Stack Trace Use to Improve Program Slicing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00352020" target="_blank" >RIV/68407700:21230/21:00352020 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-981-33-6385-4_25" target="_blank" >https://doi.org/10.1007/978-981-33-6385-4_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-33-6385-4_25" target="_blank" >10.1007/978-981-33-6385-4_25</a>
Alternative languages
Result language
angličtina
Original language name
On Log Analysis and Stack Trace Use to Improve Program Slicing
Original language description
Program slicing is a common technique to help reconstruct the path of execution a program has taken. It is beneficial for assisting developers in debugging their programs, but its usefulness depends on the slice accuracy that can be achieved, which is limited by the sources of information used in building the slice. In this paper, we demonstrate that two sources of information, namely program logs, and stack traces, previously used in isolation to build program slices, can be combined to build a program slicer capable of handling more scenarios than either method individually. We also demonstrate a sample application of our proposed slicing approach by showing how our slicer can deduce integer inputs that will recreate the detected error’s execution path.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Information Science and Applications - Proceedings of ICISA 2020
ISBN
9789813363847
ISSN
1876-1100
e-ISSN
1876-1119
Number of pages
11
Pages from-to
265-275
Publisher name
Springer Science+Business Media
Place of publication
Berlin
Event location
Virtual Conference
Event date
Dec 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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