masterThesis
PerfMiner Visualizer: uma ferramenta para análise da evolução do atributo de qualidade de desempenho em sistemas de software
Fecha
2017-07-26Registro en:
SILVA, Leo Moreira. PerfMiner Visualizer: PerfMiner Visualizer: uma ferramenta para análise da evolução do atributo de qualidade de desempenho em sistemas de software. 2017. 132f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2017.
Autor
Silva, Leo Moreira
Resumen
The maintenance and evolution of software systems can bring several code changes that
can potentially reduce their quality and increase their complexity. One critical quality
attribute that be affected over time is the system performance. Thus, without due monitoring,
the performance quality attribute may no longer be adequately addressed. The
software visualization area proposes the use of techniques whose objective is to improve
the understanding of the software and to make its development process more productive.
In this context, this work presents PerfMiner Visualizer - a tool to visualize and analyze
the performance deviations from subsequent evolutions of a software system. Through call
graph and scenario summarization visualizations, the tool allows developers and architects
identifying scenarios and methods that have variations in their performance, including the
potential causes of such deviations through commits. This work also presents an empirical
study that evaluates the use of the tool by applying it to 10 evolutionary versions of 2
open source systems from different domains and by submitting online questionnaires to
obtain feedback from their developers and architects. The results of the conducted study
bring preliminary evidence of the effectiveness of visualizations provided by the tool compared
to tabular data. In addition, the nodes suppression algorithm of the call graph
visualization was able to reduce between 73.77% and 99.83% the number of nodes to be
displayed to the user, allowing him to be able to identify more easily the possible causes
of variations.