Models of motivation in software engineering

Sharp, Helen; Baddoo, Nathan; Beecham, Sarah; Hall, Tracy; Robinson, Hugh

doi:10.1016/j.infsof.2008.05.009

Cited by 128 publications

(116 citation statements)

References 84 publications

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“…These individual differences could rely, among other factors, on competences (Sharp, Baddoo, Beecham, Tracy, & Robinson, 2009;Turley & Bieman, 1995). Although soft ware practitioners through their competences are the enablers of the Knowledge Society (Hernández López, Colomo Palacios, García Crespo, & Soto Acosta 2010), since they provide knowledge workers with the tool to perform their work, inadequate verification of soft ware engineers' competences is usually one of the main problems within software development projects (McConnell, 2003).…”

Section: Introductionmentioning

confidence: 99%

Competence gaps in software personnel: A multi-organizational study

Colomo‐Palacios

Casado‐Lumbreras

Soto‐Acosta

et al. 2013

Computers in Human Behavior

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a b s t r a c tToday, the innovation and quality of the software industry's products and services depend to a great extent on the knowledge, ability and talent applied by software engineers. At the same time, human aspects are recognized as one of the main problems associated with software development projects. More specifically, inefficiencies usually come from inadequate verification of software engineers' competences. Another issue is the lack of an established career for software engineers, which adds difficulties to eval uate competences. With these challenges in mind, this paper presents a study conducted in the software industry to test competence gaps among software practitioners, comparing the 360 degree feedback results and self evaluations with that of standard competence levels. The results of this research may be very valuable to organizations immersed in software development projects.

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Section: Introductionmentioning

confidence: 99%

Competence gaps in software personnel: A multi-organizational study

Colomo‐Palacios

Casado‐Lumbreras

Soto‐Acosta

et al. 2013

Computers in Human Behavior

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“…Software engineers' motivation has received much systematic attention [5,6,7]. Motivation is moderated by complex socio-cognitive factors, including the cultural context with its value system and individual personal characteristics [6].…”

Section: Related Workmentioning

confidence: 99%

“…Motivation is moderated by complex socio-cognitive factors, including the cultural context with its value system and individual personal characteristics [6]. Values form an important component in motivation [8], and, thus influence performance and overall work experience.…”

Section: Related Workmentioning

confidence: 99%

Examining the Structure of Lean and Agile Values among Software Developers

Fagerholm

Pagels

2014

Lecture Notes in Business Information Processing

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Abstract. Gaining maximum benefit of Lean and Agile methods requires a thorough understanding of their assumptions regarding culture, mindset, and values. This paper examines the value system structure of experienced developers working with Lean and Agile methods, and compares it to universal human values and individual personality. We developed and deployed an online survey on Lean and Agile values, with embedded measures for universal values and personality. The resulting data set, with 61 respondents, was analysed using agglomerative hierarchical clustering and multidimensional scaling. A value structure containing 11 Lean and Agile values was uncovered, yielding insight into how Lean and Agile developers experience values in their work. The analysis shows that Lean and Agile values are connected, but not equal, to universal values and personality. The proposed model can help practitioners understand the ethos of Lean and Agile methodologies and to assess their organisational culture. It may also help researchers to study models of software developer experience and value systems.

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“…Moreover, there are several software productivity factors identified in literature: motivation (Boehm, 1987;Beecham, Baddoo, Hall, Robinson, & Sharp, 2008;Sharp, Baddoo, Beecham, Hall, & Robinson, 2009), process (Boehm, 1987) and process design and coordination issues (Chiang &Mookerjee, 2004), complexity or a size of a project (Scacchi, 1995;Boehm, 1987Boehm, , 1981, reuse of software artifacts (Lim, 2002;Boehm, 2002), communication demands regarding to team size (Scacchi, 1995;Blackburn, Scudder, & Van Wassenhove, 2002). Based on the research surveyed in this paper, Figure 1 shows several productivity factors identified for software development.…”

Section: Productivitymentioning

confidence: 99%

Social Capital as a Determinant Factor of Software Development Productivity

Yılmaz

O’Connor

2012

International Journal of Human Capital and Information Technology Professionals

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Social capital is an important network based intangible asset with a potential for maximizing individual and team productivity in a social setting like software development. It is important to investigate intervening factors that challenge software development productivity. In this paper, the authors mixed method approach harnesses a structural equation model (SEM) for its quantitative part to establish a paradigm for understanding the effects of social factors for software development organizations. The proposed SEM model measures the correlations between several potential factors associated with productivity, social productivity, and social capital that are chosen as latent variables. For the qualitative phase, an industrial focus group is used to single out these factors and their association with potential social aspects. Quantitative data is gathered from a survey conducted at a university. The qualitative phase encompasses an industrial focus group, initially starting with the factors from the literature and refined through participants’ field experience. Findings indicate that a high correlation exists between several social factors that are reported by the focus group. Finally, initial results suggest that understanding the factors that affect social capital in software development is essential for building and sustaining highly productive development environments.

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Models of motivation in software engineering

Cited by 128 publications

References 84 publications

Competence gaps in software personnel: A multi-organizational study

Competence gaps in software personnel: A multi-organizational study

Examining the Structure of Lean and Agile Values among Software Developers

Social Capital as a Determinant Factor of Software Development Productivity

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