Critical success factors taxonomy for software process deployment

Bayona-Oré, Sussy; Villalón, José Antonio Calvo-Manzano; Cuevas, Gonzalo; Feliú, Tomás San

doi:10.1007/s11219-012-9190-y

Cited by 48 publications

(33 citation statements)

References 21 publications

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“…Suganya and Alagarsamy claimed that human factors have rarely given been attention by companies and that might have caused the main reason for SPI failure. McDermid and Bennett, Mirna, et al, and Bayona‐Oré, et al argued that ignoring human factors causes damage in SPI implementation. On the other hand, Beecham, et al indicated that human factors have a critical contribution to the success of SPI implementation.…”

Section: Background Of the Studymentioning

confidence: 99%

Empirical study of software process improvement in Malaysian small and medium enterprises: The human aspects

Almomani

Basri

Gilal

2018

J Software Evolu Process

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Software Process Improvement (SPI) aims to achieve quality software products in software companies. Ignoring human factors can cause several types of damage in the software development process. Because, Software development is not a purely technical task, but rather it is a relationship between technical and human factors that interact with each other constantly. Currently, Small Medium Enterprises' (SMEs) software development companies in Malaysia still struggle to implement SPI successfully. Therefore, the main objective of this study is to investigate the empirical evidence based on the human factor perspective for helping Malaysian SMEs' software development companies to implement SPI strategies. A questionnaire‐based survey method was used for gathering information from 79 practitioners. The results indicate that 9 factors (employee awareness, leadership involvement, employee involvement, customer involvement, senior management support, staff experience, staff learning, staff skills, and client support) are considered important for implementing SPI in Malaysian SME software development companies. The involvement of both leadership and employees, and getting support from management are the most important human factors that should be considered during the design process of SPI strategies.

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Section: Background Of the Studymentioning

confidence: 99%

Empirical study of software process improvement in Malaysian small and medium enterprises: The human aspects

Almomani

Basri

Gilal

2018

J Software Evolu Process

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“…Although there are some textbooks (Abran 2010) and papers (Basili et al 1999;Carver et al 2010;Bayona-Oré et al 2014) for evaluation of the software systems in general, the studies which evaluate DSMLs are rare (Marin et al 2010). Taking into account general DSL studies with including an evaluation, for instance, in Wile (2004), the author describes experiences and lessons learned (successes and failures) from employing three real DSLs during 10 years.…”

Section: Related Workmentioning

confidence: 99%

A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems

2015

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Multi-agent systems (MASs) include multiple interacting agents within an environment to provide a solution for complex systems that cannot be easily solved with individual agents or monolithic systems. However, the development of MASs is not trivial due to the various agent properties such as autonomy, responsiveness, and proactiveness, and the need for realization of the many different agent interactions. To support the development of MASs various domain-specific modeling languages (DSMLs) have been introduced that provide a declarative approach for modeling and supporting the generation of agent-based systems. To be effective, the proposed DSMLs need to meet the various stakeholder concerns and the related quality criteria for the corresponding MASs. Unfortunately, very often the evaluation of the DSML is completely missing or has been carried out in idiosyncratic approach. If the DSMLs are not well defined, then implicitly this will have an impact on the quality of the MASs. In this paper, we present an evaluation framework and systematic approach for assessing existing or newly defined DSMLs for MASs. The evaluation is specific for MAS DSMLs and targets both the language and the corresponding tools. To illustrate the evaluation approach, we first present SEA_ML, which is a model-driven MAS DSML for supporting the modeling and generation of agentbased systems. The evaluation of SEA_ML is based on a multi-case study research approach and provides both qualitative evaluation and quantitative analysis. We report on the lessons learned considering the adoption of the evaluation approach as well as the SEA_ML for supporting the generation of agent-based systems.

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“…The method is depicted in Table 7. The method is an update of the method presented by Bayona-Or e et al [18], based on our observations and experiences from a systematic mapping study [19] on taxonomies in the software engineering discipline. The revised method consists of four phases and 13 activities.…”

Section: Taxonomy Design Methodsmentioning

confidence: 99%

An Effort Estimation Taxonomy for Agile Software Development

Usman

Börstler

Petersen

2017

Int. J. Soft. Eng. Knowl. Eng.

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In Agile Software Development (ASD) e®ort estimation plays an important role during release and iteration planning. The state of the art and practice on e®ort estimation in ASD have been recently identi¯ed. However, this knowledge has not yet been organized. The aim of this study is twofold: (1) To organize the knowledge on e®ort estimation in ASD and (2) to use this organized knowledge to support practice and the future research on e®ort estimation in ASD. We applied a taxonomy design method to organize the identi¯ed knowledge as a taxonomy of e®ort estimation in ASD. The proposed taxonomy o®ers a faceted classi¯cation scheme to characterize estimation activities of agile projects. Our agile estimation taxonomy consists of four dimensions: estimation context, estimation technique, e®ort predictors and e®ort estimate. Each dimension in turn has several facets. We applied the taxonomy to characterize estimation activities of 10 agile projects identi¯ed from the literature to assess whether all important estimation-related aspects are reported. The results showed that studies do not report complete information related to estimation. The taxonomy was also used to characterize the estimation activities of four agile teams from three di®erent software companies. The practitioners involved in the investigation found the taxonomy useful in characterizing and documenting the estimation sessions.

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Critical success factors taxonomy for software process deployment

Cited by 48 publications

References 21 publications

Empirical study of software process improvement in Malaysian small and medium enterprises: The human aspects

Empirical study of software process improvement in Malaysian small and medium enterprises: The human aspects

A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems

An Effort Estimation Taxonomy for Agile Software Development

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