The Case for Quantitative Process Management

Curtis, Bruce; Seshagiri, Girish; Reifer, Donald J.; Hirmanpour, Iraj; Keeni, Gargi

doi:10.1109/ms.2008.80

Cited by 9 publications

(8 citation statements)

References 1 publication

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“…It is also critical that the organization constantly evaluate its models to ensure their predictive validity. Updating the models when necessary provides profound knowledge about the changes in the underlying conditions that affect the performance [17].…”

Section: The Influence Of Ba On Performancementioning

confidence: 99%

The impact of business analytics on supply chain performance

Trkman

McCormack

Oliveira

et al. 2010

Decision Support Systems

377

233

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The paper investigates the relationship between analytical capabilities in the plan, source, make and deliver area of the supply chain and its performance using information system support and business process orientation as moderators. Structural equation modeling employs a sample of 310 companies from different industries from the USA, Europe, Canada, Brazil and China. The findings suggest the existence of a statistically significant relationship between analytical capabilities and performance. The moderation effect of information systems support is considerably stronger than the effect of business process orientation. The results provide a better understanding of the areas where the impact of business analytics may be the strongest.

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Section: The Influence Of Ba On Performancementioning

confidence: 99%

The impact of business analytics on supply chain performance

Trkman

McCormack

Oliveira

et al. 2010

Decision Support Systems

377

233

View full text Add to dashboard Cite

show abstract

“…There are several works highlighting the importance of measures and collected data are appropriate for the SPC, in order to be used in this context [8,12,13,19,20,22]. However, there are few works treating specifically the evaluation of measures and data for this purpose.…”

Section: Related Workmentioning

confidence: 99%

“…The unsuitability of the defined measures and collected data is one of the main problems. It delays the SPC implementation, because firstly the measures should be adapted and only then the SPC techniques could be applied [8,12,13,14,19,22].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the suitability of a measurement repository for statistical process control

Barcellos

Rocha

Falbo

2010

Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement

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Software organizations have increased their interest on software process improvement (SPI). In high maturity levels, SPI involves implementing statistical process control (SPC), which requires measures and data that are suitable for this context. However, this has been pointed in the literature as one of the main obstacles for a successful implementation of SPC in SPI efforts. This paper presents an instrument for evaluating the suitability of measurement repositories in order to support software organizations implementing SPC.

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“…Assim, dada a ausência de um conjunto formal, consolidado e detalhado de diretrizes para a preparação e implementação do controle estatístico de processos de software, as organizações têm encontrado dificuldades, destacando-se a não adequação de suas bases de medidas à aplicação das técnicas estatísticas [Kitchenham et al, 2006;Weller e Card, 2008]. Nesse contexto, alguns autores [Sargut e Demirors, 2006;Boffoli et al, 2008;Curtis et al, 2008] afirmam que há mais trabalho para preparar a estrutura necessária para realizar o controle estatístico de processos do que para realizar o controle estatístico propriamente dito, pois a alimentação das bases de medidas com medidas que não são úteis ao controle estatístico retarda sua realização, uma vez que, primeiramente, deve ser realizada a adequação das medidas para, só então, aplicar as técnicas do controle estatístico de processos.…”

Section: Introductionunclassified

Análise da Estrutura e Conteúdo de uma Base de Medidas Visando ao Controle Estatístico de Processos de Software

Barcellos¹,

Santos²,

Rocha³

2010

Anais Do IX Simpósio Brasileiro De Qualidade De Software (SBQS 2010)

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O alcance da alta maturidade, caracterizada nos níveis A e B do MRMPS e nos níveis 4 e 5 do CMMI, requer a implementação do controle estatístico de processos, que somente pode ser realizado se forem utilizados medidas e dados adequados a esse contexto. No entanto, muitas organizações que iniciam as práticas necessárias à alta maturidade precisam adiar a implementação do controle estatístico de processos devido à inadequação de suas bases de medidas. Este artigo apresenta alguns resultados da análise realizada em uma base de medidas de uma organização de software, visando à futura implementação do controle estatístico de processos.

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The Case for Quantitative Process Management

Cited by 9 publications

References 1 publication

The impact of business analytics on supply chain performance

The impact of business analytics on supply chain performance

Evaluating the suitability of a measurement repository for statistical process control

Análise da Estrutura e Conteúdo de uma Base de Medidas Visando ao Controle Estatístico de Processos de Software

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