Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-11-01T21:17:51Z
No. of bitstreams: 1
LeoMoreiraSilva_DISSERT.pdf: 4274864 bytes, checksum: ba5d7987907f47bb678e8a7cb507ff0c (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-11-07T22:32:56Z (GMT) No. of bitstreams: 1
LeoMoreiraSilva_DISSERT.pdf: 4274864 bytes, checksum: ba5d7987907f47bb678e8a7cb507ff0c (MD5) / Made available in DSpace on 2017-11-07T22:32:56Z (GMT). No. of bitstreams: 1
LeoMoreiraSilva_DISSERT.pdf: 4274864 bytes, checksum: ba5d7987907f47bb678e8a7cb507ff0c (MD5)
Previous issue date: 2017-07-26 / A manuten??o e a evolu??o dos sistemas de software podem trazer v?rias mudan?as de
c?digo que podem potencialmente reduzir sua qualidade e aumentar sua complexidade.
Um atributo de qualidade cr?tico que ? afetado ao longo do tempo ? o desempenho do
sistema. Assim, sem o devido acompanhamento, esse atributo de qualidade pode deixar
de ser atendido adequadamente. A ?rea de visualiza??o de software prop?e o uso de t?cnicas
cujo objetivo ? melhorar o entendimento do software e tornar mais produtivo o seu
processo de desenvolvimento. Neste contexto, este trabalho apresenta o PerfMiner Visualizer
- uma ferramenta para visualizar e analisar desvios de desempenho em evolu??es
subsequentes de um sistema de software. Atrav?s de visualiza??es de grafos de chamadas
e sumariza??o de cen?rios, a ferramenta permite que desenvolvedores e arquitetos possam
identificar cen?rios e m?todos que tiveram varia??es no seu desempenho, inclusive as
potenciais causas desses desvios atrav?s dos commits. O trabalho tamb?m apresenta um
estudo emp?rico que avalia o uso da ferramenta aplicando-a em 10 vers?es de evolu??o
de 2 sistemas open source de dom?nios diferentes e submetendo question?rios online para
obter feedback dos seus desenvolvedores e arquitetos. Os resultados do estudo conduzido
trazem evid?ncias preliminares da efic?cia das visualiza??es providas pela ferramenta em
compara??o com dados tabulares. Al?m disso, o algoritmo de supress?o de n?s da visualiza??o
do grafo de chamadas foi capaz de reduzir entre 73,77% e 99,83% a quantidade de
n?s a serem exibidos para o usu?rio, permitindo que ele possa identificar mais facilmente
as poss?veis causas das varia??es. / 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.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/24210 |
| Date | 26 July 2017 |
| Creators | Silva, Leo Moreira |
| Contributors | 02219235432, Silva, Lyrene Fernandes da, 02097798454, Novais, Renato Lima, 00235953539, Pinto, Felipe Alves Pereira, Kulesza, Uira |
| Publisher | PROGRAMA DE P?S-GRADUA??O EM SISTEMAS E COMPUTA??O, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0038 seconds