An Extensible Framework for Large-Scale Mining of Performance Microbenchmarks
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Typ
Examensarbete för masterexamen
Program
Publicerad
2018
Författare
Rollny, Joel
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Many performance issues are caused by low-level implementation details, which
are also more likely to be the cause of failures in software-intensive systems than
erroneous feature implementations. A microbenchmark is a type of performance
test that focus on measuring the performance of smaller, yet critical, code sections
as opposed to a whole system. It is a complex task to design useful and correct
performance microbenchmarks, and the lack of tool support is part of the reason.
A goal of mining software repositories (MSR) research is to motivate the development
of tools. To facilitate performing mining studies on a large scale mining frameworks
can be used. This study focus on designing and implementing an open-sourced extensible
framework for large-scale mining of software performance microbenchmarks.
By mining existing microbenchmarks and their evolution researchers and practitioners
could gain knowledge valuable for their work on tools facilitating the creation of
correct and useful performance microbenchmarks. Thus, the objective is to find out
if the created framework can be considered good enough for its purpose.
An action research was conducted where MicroAnalyzer, the framework presented
in this thesis, was designed and implemented. The study involved eliciting requirements
for the framework and creating an architecture allowing mining studies to be
highly reproducible. Two mining studies were performed in order to validate the
framework.
The results of this study show that MicroAnalyzer automates the major parts
of the mining process and can be useful for large-scale mining of performance microbenchmarks.
Mining studies performed with the framework can be considered
highly reproducible.
Beskrivning
Ämne/nyckelord
performance , microbenchmarks , mining software repositories , JMH , Go , Java , git