A Review of Productivity Factors and Strategies on Software Development

Sampaio, Suzana; Barros, Emanuella Aleixo; Aquino, Gibeon Soares de; Silva, Mauro Jose Carlos e; Meira, Sílvio Romero de Lemos

doi:10.1109/icsea.2010.37

Cited by 27 publications

(13 citation statements)

References 29 publications

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“…Despite the fact that the factors that affect the productivity of software development has been researched from both academic and industrial viewpoints, software development organizations still cannot adequately measure the impact of factors that are affecting the software development activities [10,11]. One question that needs to be asked here is whether there is a way to explain software development productivity in terms of the factors affecting it.…”

Section: Background Of the Researchmentioning

confidence: 99%

“…One question that needs to be asked here is whether there is a way to explain software development productivity in terms of the factors affecting it. To this end, first we hypothesized a productivity model in terms of the factors that are systematically identified [10]. Secondly, to understand social factors from the software practitioners' perspective, we enhanced our model with the factors based on the social aspects that are affecting productivity by a series of industrial focus group studies.…”

Section: Background Of the Researchmentioning

confidence: 99%

“…By following the software development productivity literature that was summarized by a number of systematic reviews [10,18,11], we select the factors that potentially affect the productivity of software development. These are (i) the software development process [19,20,21,8], (ii) the level of individual's motivation [19,22,8] and its influence on software engineers [23,24,25], (iii) the ability of an organization to stabilize the customer requirements [26,27], (iv) software project management quality [1,28], (v) team issues such as aligning skills of the software teams [19,20,21], (vi) reuse [19,22,29,30,31], (vii) tools that are used in software development [32,33], (viii) the effect of programming language on software development productivity [19,22,34], (ix) software size [35,18], (x) team size [32,33,35], and finally (xi) software complexity [21,19,22,17,8].…”

Section: Factors Of Productivitymentioning

confidence: 99%

See 2 more Smart Citations

Effective Social Productivity Measurements during Software Development — An Empirical Study

Yılmaz

O’Connor

Clarke

2016

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

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Much of contemporary scientific discussion regarding factors that influence software development productivity is undertaken in various domains where there is an insufficient empirical basis for exploring socio-technical factors of productivity that are specific to a software development organization. The purpose of the study is to characterize the multidimensional nature of software development productivity and its social aspects as a set of latent constructs (i.e. variables that are not directly observed) for a medium-sized software company. To this end, we designed an exploratory in-depth field study based on the hypothesized productivity constructs, which were modeled by a set of factors identified from literature reviews, and later refined by industrial focus groups. In order to demonstrate the applicability of our approach, we conducted confirmatory factor analysis with the data attained from a questionnaire with 216 participants.To investigate factors of influence further, we analyzed the impact of selected teambased variables over the latent constructs of productivity. Taken together, our findings confirm that such an approach can be used to explore the quantifiable influence of sociotechnical factors that would affect productivity of a particular software development organization. Ultimately, the resulting model provides guidance to explore the comparative importance of a set of firm-specific factors that may help to improve the productivity of the organization.

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Section: Background Of the Researchmentioning

confidence: 99%

Section: Background Of the Researchmentioning

confidence: 99%

Section: Factors Of Productivitymentioning

confidence: 99%

See 1 more Smart Citation

Effective Social Productivity Measurements during Software Development — An Empirical Study

Yılmaz

O’Connor

Clarke

2016

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

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“…All kinds of companies have been investing in techniques to increase productivity in order to increase competitiveness, and this is no different in the software industry, which still continues investing in new methods, tools and best practices that could lead organizations to productivity improvement [1].…”

Section: Introductionmentioning

confidence: 99%

“…Several studies are devoted to discover the factors that have influence in productivity of software development and maintenance activities [1], [4], [7], [8]. Understanding those factors and having some mechanism to evaluate productivity in a fair way could provide to software team leaders a better tool to evaluate and compare their developers.…”

Section: Introductionmentioning

confidence: 99%

Developers' importance from the leader perspective

Tangari

Maia

2015

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-Several companies use the amount of deliveries as a metric of performance evaluation of the developer. However, the productivity of a developer and his importance for the company is not only related to the amount of lines of code produced. There are a variety of factors that can contribute to the relevance of a developer for a team. This paper aims at mapping some of these factors, measuring those that are more important for companies and propose an evaluation model of developer importance that considers more than just deliveries. We have found that some factors are more important than others and that there are minor differences for different companies. We have also developed a high accuracy classifier that can indicate the importance of the developer based on a set of attributes.

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Do feelings matter? On the correlation of affects and the self‐assessed productivity in software engineering

Graziotin

Wang

Abrahamsson

2014

J Software Evolu Process

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Software engineering (SE) research lacks theory and methodologies for addressing human aspects in software development. Development tasks are undertaken through cognitive processing activities. Affects (emotions, moods, and feelings) have a linkage to cognitive processing activities and the productivity of individuals. SE research needs to incorporate affect measurements to valorize human factors and to enhance management styles.The objective of this study is to analyze the affects dimensions of valence, arousal, and dominance of software developers and their real-time correlation with their self-assessed productivity (sPR).A repeated measurements design was conducted with eight participants (four students and four professionals), conveniently sampled and studied individually over 90 min of programming. The analysis was performed by fitting a linear mixed-effects (LME) model.The results showed that valence and dominance are positively correlated with the sPR. The model was able to express about 38% of deviance from the sPR. Many lessons were learned when employing psychological measurements in SE and for fitting LME.This article demonstrates the value of applying psychological tests in SE and echoes a call to valorize the human individualized aspects of software developers. It reports a body of knowledge about affects, their classification, their measurement, and the best practices to perform psychological measurements in SE with LME models.

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A Review of Productivity Factors and Strategies on Software Development

Cited by 27 publications

References 29 publications

Effective Social Productivity Measurements during Software Development — An Empirical Study

Effective Social Productivity Measurements during Software Development — An Empirical Study

Developers' importance from the leader perspective

Do feelings matter? On the correlation of affects and the self‐assessed productivity in software engineering

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