An experience in using risk management in a software process improvement programme

Lassudrie, Claire; Gullà-Menez, Gina

doi:10.1002/spip.192

Cited by 3 publications

(3 citation statements)

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“…Nevertheless, the empirical research on risk management is often based on the assumption that a proper execution of the practices prescribed by the risk management approach will fully mitigate the risk factors (e.g. Conrow and Shishido, 1997;Dey et al, 2007;Lassudrie and Gulla-Menez, 2004;Zafiropoulos et al, 2005). And although a relation between risk management and project success is implied in these publications, they do not provide empirical evidence for the relation between project risk management and project success.…”

Section: Papers Addressing the Management Approach To Risk Managementmentioning

confidence: 99%

Does risk management contribute to IT project success? A meta-analysis of empirical evidence

Bakker

Boonstra

Wortmann

2010

International Journal of Project Management

228

130

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Section: Papers Addressing the Management Approach To Risk Managementmentioning

confidence: 99%

Does risk management contribute to IT project success? A meta-analysis of empirical evidence

Bakker

Boonstra

Wortmann

2010

International Journal of Project Management

228

130

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“…Uncertainties cannot be managed through the project risk management process (Pich et al, 2002;March and Shapira, 1987;Pender, 2001). Nonetheless, empirical research on risk management in projects is based on the supposition that there is full mitigation of the risk factors, is correct (Dey et al, 2007;Lassudrie and Gulla-Menez, 2004;Zafiropoulos et al, 2005). However, De Bakker et al…”

Section: Sourcementioning

confidence: 99%

Risk management in IT projects – a case of the South African public sector

Javani

Rwelamila

2016

International Journal of Managing Projects in Business

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Purpose – The purpose of this paper is to study the recognition, application and understanding (status) of risk management in information technology (IT) projects in the South African public sector and thus contribute to the research gap. Design/methodology/approach – A quantitative approach in the form of a survey design was adopted, with data being collected through a questionnaire. The results from the study are compared to the theory and practice of risk management before drawing conclusions on the status of risk management in IT projects. Findings – The findings provide significant statistical support for the conclusion that risk management is being applied in current IT projects and that it is understood by the respective project clients. Research limitations/implications – Though risk management has been studied by several authors, very little is known about its status in the South African public sector. This study sheds light on its application in IT projects and its understanding by IT project clients. Practical implications – The study findings encourage project executives to develop knowledge bases for risk management in IT projects, as well as the corresponding tools. This will ultimately assist in knowledge sharing, which increases chances of IT project success. Importantly, the study also highlights that the relationship between project clients and project teams can be accelerated through knowledge sharing and continuous project communication. Originality/value – The research addresses one of the questions held by many scholars on the status of risk management in IT projects. It advances the recognition of risk management as a knowledge base and the practical implications thereof.

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“…Software companies required to incessantly enhance the process of their services. For satisfaction of business goals with greater effectiveness and satisfaction of customer, the France telecommunication research and development designed a software process improvement programme and implementation of risk management in software process improvement in 1999 [5]. Kanoun [6] has emphasized on the collection of data and program analysis for reliability of software improvements.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Decision Making to Continuous Software Improvement Based on Quality Management, Assurance, and Metrics

Sun

Nazir

Hussain

2021

Scientific Programming

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Software process improvement methodologies support to incessantly regulate and advance the process of software for its performance development. This development arises in terms of software product quality, time, changes reduction, and so on. The aim of software process improvement is to make software process effective and to increase quality of software product through continuous evaluation. Various approaches and frameworks are in practice for software process improvement. Early decision making concerning continuous software improvement can ultimately lead to successful software developments and growing software industry and business of software. Keeping in view the early decision making regarding continuous software improvement, the proposed study has considered a decision support system (DSS) for making decision based on multicriteria against quality management, assurance, and metrics. The necessary factors and alternatives for continuous software improvement were considered. The process of the proposed study was experimentally conducted, and results were good enough for supporting the study. The study will help practitioners in early decision making regarding software improvement based on quality management.

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An experience in using risk management in a software process improvement programme

Cited by 3 publications

References 0 publications

Does risk management contribute to IT project success? A meta-analysis of empirical evidence

Does risk management contribute to IT project success? A meta-analysis of empirical evidence

Risk management in IT projects – a case of the South African public sector

Multicriteria Decision Making to Continuous Software Improvement Based on Quality Management, Assurance, and Metrics

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