Application of multistage process control methodology for software quality management

John, Boby; Kadadevaramath, Rajeshwar S.; Edinbarough, Immanuel

doi:10.5267/j.jpm.2017.2.001

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…Generally, the model-based process control mechanism is used to optimize the quality of the software development process (John et al , 2016; John et al , 2017). Hence, a model is developed to estimate the resolution time using shortlisted important factors (forecasted volume, team’s software engineering skill and domain expertise) as explanatory variables.…”

Section: Case Studymentioning

confidence: 99%

Improving the resolution time performance of an application support process using Six Sigma methodology

John

Kadadevaramath²

2020

IJLSS

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Purpose This paper is a case study on the successful application of Six Sigma methodology in the information technology industry. The purpose of this paper is to improve the resolution time performance of an application support process. Design/methodology/approach Through brainstorming, the potential factors influencing the resolution time are identified. From the potential factors, the important factors, namely, day-wise ticket volume, team’s software engineering skill and domain expertise are shortlisted using test of hypothesis, correlation, etc. Then a model is developed using principal component regression, linking the critical to quality characteristic with the root causes or important factors. Finally, a solution methodology is developed using the model to obtain the team composition and size with optimum software skill and domain expertise to resolve the tickets within the required time. Findings The implementation of the solution resulted in improving the process performance significantly. The process performance index increased from 0.00 to 1.2 and parts per million reduced from 501366.31 to 153. 33. Practical implications The software engineers can use the similar approach to improve the performance of core software activities such as coding, testing and bug fixing. The approach can also be used for improving the performance of other skill-based operations such as error reduction in medical diagnostics. Originality/value This is one of the rare Six Sigma case studies on improving skill-based processes such as software development. The study also demonstrates the usefulness of the Six Sigma methodology for solving dynamic problems whose solution needs to be continuously adjusted with the changes in the input or process conditions.

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Section: Case Studymentioning

confidence: 99%

Improving the resolution time performance of an application support process using Six Sigma methodology

John

Kadadevaramath²

2020

IJLSS

Self Cite

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“…Such an approach is targeted at recognizing weaknesses and strengths and addressing the various issued that may be identified. The article covers the experiences of the authors with total quality management because of its introduction in the organization of software development leading to the long history of the application of the IS09001 quality systems [3].…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…The potential of TQM in the arena of software development has recently been acknowledged. Apparently, there are three major concepts that show the relevance as well as the importance of total quality management in the software engineering including quality dimensions, quality evolution, and quality management [3].…”

Section: Introductionmentioning

confidence: 99%

Important Success Aspects for Total Quality Management in Software Development

Alhazmi¹,

Bajunaid²,

Aziz³

2017

IJCA

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Quality is a fundamental component in the development of software. Consequently, various practitioners and researchers have attempted integrating Total Quality Managements (TQM) concepts in software engineering. Total Quality Data Management (TQDM) refers to a management tactic to longterm achievement through the fulfilment of the needs of clients. According to procedures of (TQDM), data should be managed the same way as products, though guidelines, principles, and methods of TQM for tangible products face various limitations in Total Data Quality Management practices due to the data's nature. This paper discusses significant success factors for quality management and the importance of total quality management in software engineering. KeywordsTotal quality management (TQM), total data quality management (TDQM), continuous improvement.

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“…An attempt has been carried out to integrate sustainability and project management by few researchers namely Silvius et al (2013, 158 2017), Gareis et al(2013), Carvalho (2016a, 2016b), Sánchez (2015), Silvius (2013), Bernhardi et al (2000), Bodea et al (2010), Fernández andRodríguez-López (2010), Hartig et al(1996), Jones (2006), Raven et al (2009), Turlea et al (2010) and Vifell and Soneryd (2012). From the literature, a lot of research scope have been found for the development of the models, tools, methods, and techniques to integrate and gauge the sustainability and the project management (Singh et al, 2012;Thomson et al, 2011;John et al 2016). The developed methods and models further can be extensively used by the companies for assuring the sustainability at the project level or at the organization level (Cole, 2005;Deakin et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

The sustainable project management: A review and future possibilities

Chawla¹,

Chanda²,

Angra³

et al. 2018

10.5267/j.jpm

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Sustainability in project operations such as financial, social and environmental sustainability is one of the most prominent issues of the present times to address. The increased focus on sustainable business operations has changed the viewpoint of researchers and corporate community towards the project management. Today sustainability in business operations along with sustainability of natural and environmental resources are of paramount significance which has further caused a huge impact on conception, planning, scheduling and execution of the project management activities. In this paper, a literature review between 1987 and 2018 on different issues affecting the sustainability in project management is carried out. The present study also identifies and discusses the future possibilities to apply computational procedures in order to estimate and optimize the sustainability issues in the management of projects, for example the computational evolutionary algorithms can be applied to formulate the multi-objective decisionmaking problem after considering critical factors of sustainability in the projects and then yielding optimized solutions for the formulated problem to achieve sustainability in the projects. A new integrated framework with the inclusion of feedback function for assessment of each decision and actions taken towards the sustainability of the projects is also identified and presented.

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Application of multistage process control methodology for software quality management

Cited by 5 publications

References 30 publications

Improving the resolution time performance of an application support process using Six Sigma methodology

Improving the resolution time performance of an application support process using Six Sigma methodology

Important Success Aspects for Total Quality Management in Software Development

The sustainable project management: A review and future possibilities

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