Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software

Detalhes bibliográficos
Autor(a) principal: Cunha, Virginia Silva da
Data de Publicação: 2006
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional PUCRS
Texto Completo: http://hdl.handle.net/10923/1639
Resumo: Software organizations work with several software projects that differ in terms of both the management tools used and the way tracking metrics are stored and controlled. Thus, the lack of a central data repository poses difficulties for the traking of Software Development Processes (SDPs) in these organizations. One of the crucial steps of the Knowledge Discovery in Databases Process is the process of Extraction, Transformation and Load (ETL). ETL aims to transform the raw data extracted from different fonts into consistent, reliable information. Considering the SDPs specificities, this study was carried out in the real computional environment. It was observed that the tools used range from spreadsheets (e. g. MS Excel) to control tools for the execution of project activities (e. g. MS Project Server, IBM Rational Clear Quest, Bugzilla). Different SDP models with a distinct life cycle for each project are also used, which result in completely different ways to register these projects even when using the same tool. Another problem is that each of those tools has an own data model that does not follow defined data representation standards. Therefore, the extraction of those data becomes a challenging goal to achieve, raising the complexity of ETL processes. The model proposed in this study introduces a two-integrated approach to deal with the problem: 1) a non intrusive way of data extraction, taking several types of heterogeneities into account, 2) the transformation and integration of these data, providing a unified and quantified organizational view of the projects. These aspects are treated using a serviceoriented architecture. This service oriented architecture tries to deal with several types of heterogeneity, from both the technical (e. g. different tools) and organizational standpoint (e. g. Organization’s Standard Software Process Standard specializations that result in distinct ways to develop and register project facts). This heterogeneity is conveniently treated through services that work as wrappers of the different types of extractors and through the support of a distributed development environment. For the evaluation of the proposed approach, three examples that consider all heterogeneity issues (different types of projects, different life cycles, different management models and several management support tools) were developed.
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spelling Cunha, Virginia Silva daRuiz, Duncan Dubugras Alcoba2013-08-07T18:43:22Z2013-08-07T18:43:22Z2006http://hdl.handle.net/10923/1639Software organizations work with several software projects that differ in terms of both the management tools used and the way tracking metrics are stored and controlled. Thus, the lack of a central data repository poses difficulties for the traking of Software Development Processes (SDPs) in these organizations. One of the crucial steps of the Knowledge Discovery in Databases Process is the process of Extraction, Transformation and Load (ETL). ETL aims to transform the raw data extracted from different fonts into consistent, reliable information. Considering the SDPs specificities, this study was carried out in the real computional environment. It was observed that the tools used range from spreadsheets (e. g. MS Excel) to control tools for the execution of project activities (e. g. MS Project Server, IBM Rational Clear Quest, Bugzilla). Different SDP models with a distinct life cycle for each project are also used, which result in completely different ways to register these projects even when using the same tool. Another problem is that each of those tools has an own data model that does not follow defined data representation standards. Therefore, the extraction of those data becomes a challenging goal to achieve, raising the complexity of ETL processes. The model proposed in this study introduces a two-integrated approach to deal with the problem: 1) a non intrusive way of data extraction, taking several types of heterogeneities into account, 2) the transformation and integration of these data, providing a unified and quantified organizational view of the projects. These aspects are treated using a serviceoriented architecture. This service oriented architecture tries to deal with several types of heterogeneity, from both the technical (e. g. different tools) and organizational standpoint (e. g. Organization’s Standard Software Process Standard specializations that result in distinct ways to develop and register project facts). This heterogeneity is conveniently treated through services that work as wrappers of the different types of extractors and through the support of a distributed development environment. For the evaluation of the proposed approach, three examples that consider all heterogeneity issues (different types of projects, different life cycles, different management models and several management support tools) were developed.As organizações de software trabalham com diversos projetos de software que se diferenciam tanto pelas ferramentas de gestão utilizadas quanto pela forma que armazenam e controlam suas métricas de acompanhamento. Sendo assim, a inexistência de um repositório centralizado de dados dificulta o acompanhamento dos Processos de Desenvolvimento de Software (PDSs) dessas organizações. Uma das etapas mais cruciais do Processo de Descoberta de Conhecimento em Banco de Dados é o processo de Extração, Transformação e Carga (ETC), pois este tem como finalidade a transformação dos dados brutos, extraídos de diversas fontes, em informações consistentes e de qualidade. Considerando que os PDSs possuem suas especificidades, realizou-se um estudo em um ambiente real e verificou-se que, em termos de ferramentas, são utilizadas desde planilhas eletrônicas (e. g. MS Excel) até ferramentas para controle da execução de atividades de projetos (e. g. MS Project Server, IBM Rational Clear Quest, Bugzilla). Detectou-se ainda o uso de diferentes modelos de PDS, com ciclos de vida variados para projetos distintos, que se traduzem em formas totalmente diversas de registrar estes projetos, ainda que na mesma ferramenta. Outro problema é que cada uma dessas ferramentas possui um modelo de dados próprio, que não segue padronizações estabelecidas de representação de dados, dificultando assim a extração desses dados. Por conseqüência, o grau de complexidade do processo de ETC, para esta organização, é muito alto.O modelo proposto neste trabalho tem por mérito tratar, de forma integrada, dois aspectos: 1) a coleta de dados dos projetos de forma não intrusiva, levando em consideração vários tipos de heterogeneidade, 2) a transformação e integração desses dados, proporcionando uma visão organizacional unificada e quantitativa dos projetos. Esses aspectos são tratados utilizando uma arquitetura orientada a serviços. A abordagem orientada a serviços busca lidar com vários tipos de heterogeneidade, tanto do ponto de vista organizacional (e. g. especializações do Processo de Software Padrão da Organização (OSSP – Organization’s Standard Software Process) que resultam em formas distintas de desenvolvimento e registro de fatos sobre projetos), quanto do ponto de vista técnico (e. g. diferentes ferramentas). Essa heterogeneidade é convenientemente tratada através de serviços que atuam como wrappers dos diferentes tipos de extratores, que suporta um ambiente distribuído de desenvolvimento. Para avaliação da abordagem proposta, foram desenvolvidos três exemplos, que consideram todas essas questões de heterogeneidade: diferentes tipos de projetos, diferentes ciclos de vida, diferentes modelos de gerenciamento e diversas ferramentas de apoio ao acompanhamento.Made available in DSpace on 2013-08-07T18:43:22Z (GMT). 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dc.title.pt_BR.fl_str_mv Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
title Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
spellingShingle Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
Cunha, Virginia Silva da
INFORMÁTICA
ENGENHARIA DE SOFTWARE
DATA WAREHOUSE
BANCO DE DADOS
title_short Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
title_full Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
title_fullStr Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
title_full_unstemmed Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
title_sort Uma abordagem orientada a serviços para captura de métricas de processo de desenvolvimento de software
author Cunha, Virginia Silva da
author_facet Cunha, Virginia Silva da
author_role author
dc.contributor.author.fl_str_mv Cunha, Virginia Silva da
dc.contributor.advisor1.fl_str_mv Ruiz, Duncan Dubugras Alcoba
contributor_str_mv Ruiz, Duncan Dubugras Alcoba
dc.subject.por.fl_str_mv INFORMÁTICA
ENGENHARIA DE SOFTWARE
DATA WAREHOUSE
BANCO DE DADOS
topic INFORMÁTICA
ENGENHARIA DE SOFTWARE
DATA WAREHOUSE
BANCO DE DADOS
description Software organizations work with several software projects that differ in terms of both the management tools used and the way tracking metrics are stored and controlled. Thus, the lack of a central data repository poses difficulties for the traking of Software Development Processes (SDPs) in these organizations. One of the crucial steps of the Knowledge Discovery in Databases Process is the process of Extraction, Transformation and Load (ETL). ETL aims to transform the raw data extracted from different fonts into consistent, reliable information. Considering the SDPs specificities, this study was carried out in the real computional environment. It was observed that the tools used range from spreadsheets (e. g. MS Excel) to control tools for the execution of project activities (e. g. MS Project Server, IBM Rational Clear Quest, Bugzilla). Different SDP models with a distinct life cycle for each project are also used, which result in completely different ways to register these projects even when using the same tool. Another problem is that each of those tools has an own data model that does not follow defined data representation standards. Therefore, the extraction of those data becomes a challenging goal to achieve, raising the complexity of ETL processes. The model proposed in this study introduces a two-integrated approach to deal with the problem: 1) a non intrusive way of data extraction, taking several types of heterogeneities into account, 2) the transformation and integration of these data, providing a unified and quantified organizational view of the projects. These aspects are treated using a serviceoriented architecture. This service oriented architecture tries to deal with several types of heterogeneity, from both the technical (e. g. different tools) and organizational standpoint (e. g. Organization’s Standard Software Process Standard specializations that result in distinct ways to develop and register project facts). This heterogeneity is conveniently treated through services that work as wrappers of the different types of extractors and through the support of a distributed development environment. For the evaluation of the proposed approach, three examples that consider all heterogeneity issues (different types of projects, different life cycles, different management models and several management support tools) were developed.
publishDate 2006
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dc.date.accessioned.fl_str_mv 2013-08-07T18:43:22Z
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dc.publisher.none.fl_str_mv Pontifícia Universidade Católica do Rio Grande do Sul
Porto Alegre
publisher.none.fl_str_mv Pontifícia Universidade Católica do Rio Grande do Sul
Porto Alegre
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