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Testing of Concurrent Software with Noise
Kotyz, Jan ; Smrčka, Aleš (referee) ; Letko, Zdeněk (advisor)
The aim of this bachelor thesis is to create a tool for testing of concurrent software written in Python. This testing tool monitors run of the concurrent program with bytecode instrumentation and performs noise injection at selected locations. This results in a dramatic increase in the probability of bug manifestation and therefore allows more efficient detection of bugs typical for concurrent software. The result of this thesis is concurrency testing tool for Python.
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Coverage-Driven Testing for Multithreaded Programs
Lietavcová, Zuzana ; Šimková, Hana (referee) ; Letko, Zdeněk (advisor)
This work deals with a problem of searching errors in multithreaded programs using a coverage-driven testing technique as perceived in program Maple. The testing consists of two phases. In the first phase of testing a set of coverable behaviours of the tested program is being built. Consequently, the algorithm tries to achieve these behaviours with a help of deterministic test execution. The main acquisition of the work lays in a compact description of Maple including all the technical details. Based on the study of the tool there were weak places identified. Some of them are studied in detail, especially those which use random decision making and prioritizing of the forced behaviours. The result are several modifications of Maple, from which some lead to a higher number of exposed behaviours and higher error exposition in some cases. This is demonstrated on a test suite of parallel programs.
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Coverage-Driven Testing for Multithreaded Programs
Lietavcová, Zuzana ; Šimková, Hana (referee) ; Letko, Zdeněk (advisor)
This work deals with a problem of searching errors in multithreaded programs using a coverage-driven testing technique as perceived in program Maple. The testing consists of two phases. In the first phase of testing a set of coverable behaviours of the tested program is being built. Consequently, the algorithm tries to achieve these behaviours with a help of deterministic test execution. The main acquisition of the work lays in a compact description of Maple including all the technical details. Based on the study of the tool there were weak places identified. Some of them are studied in detail, especially those which use random decision making and prioritizing of the forced behaviours. The result are several modifications of Maple, from which some lead to a higher number of exposed behaviours and higher error exposition in some cases. This is demonstrated on a test suite of parallel programs.
|
|
|
Testing of Concurrent Software with Noise
Kotyz, Jan ; Smrčka, Aleš (referee) ; Letko, Zdeněk (advisor)
The aim of this bachelor thesis is to create a tool for testing of concurrent software written in Python. This testing tool monitors run of the concurrent program with bytecode instrumentation and performs noise injection at selected locations. This results in a dramatic increase in the probability of bug manifestation and therefore allows more efficient detection of bugs typical for concurrent software. The result of this thesis is concurrency testing tool for Python.
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