Empirical study on the relationship between developer's working habits and efficiency

Rodriguez, Ariel; Tanaka, Fumiya; Kamei, Yasutaka

doi:10.1145/3196398.3196458

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…This study found that sleep quality is a factor predicting mental well-being and work engagement which is important from a managerial perspective. Software professionals usually work uneven hours ( Rodriguez et al, 2018 ) with a high level of focus and attention for their tasks which may diminish their resources resulting in refraining from work activities. Accordingly, management of companies could raise awareness of software workers’ sleep quality by suggesting periodic checks.…”

Section: Discussionmentioning

confidence: 99%

Software professionals during the COVID-19 pandemic in Turkey: Factors affecting their mental well-being and work engagement in the home-based work setting

Tokdemir

2022

Journal of Systems and Software

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Section: Discussionmentioning

confidence: 99%

Software professionals during the COVID-19 pandemic in Turkey: Factors affecting their mental well-being and work engagement in the home-based work setting

Tokdemir

2022

Journal of Systems and Software

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“…Many studies confirm the importance of "mentally switching off" [1,4,51]. In software engineering, several studies have shown the influence of time-related factors, such as late-night commits and long working sessions being more likely to contain bugs [17,45], sleep deprivation reducing code quality [22], Monday commit comments using more negative language [29], and time pressure is often seen as an important stressor [36].…”

Section: Related Workmentioning

confidence: 99%

Why Do People Give Up FLOSSing? A Study of Contributor Disengagement in Open Source

Miller

Widder

Kästner

et al. 2019

IFIP Advances in Information and Communication Technology

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Established contributors are the backbone of many free/libre open source software (FLOSS) projects. Previous research has shown that it is critically important for projects to retain contributors and it has also revealed the motivations behind why contributors choose to participate in FLOSS in the first place. However, there has been limited research done on the reasons why established contributors disengage, and factors (on an individual and project level) that predict their disengagement. In this paper, we conduct a mixed-methods empirical study, combining surveys and survival modeling, to identify the reasons and predictive factors behind established contributor disengagement. We find that different groups of established contributors tend to disengage for different reasons; however, overall contributors most commonly cite some kind of transition (e.g., switching jobs or leaving academia). We also find that factors such as the popularity of the projects a contributor works on, whether they have experienced a transition, when they work, and how much they work are all factors that can be used to predict their disengagement from open source.

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“…Also, although our study uses some metrics similar to the ownership metrics, these are analysed regarding various quality metrics at release level. In addition to code ownership, [Rodriguez, Tanaka et al, 2018] analysed how are the working behaviours of developers (basically the temporal dimension) and the effects these habits have on coding efficiency. [Joonbakhsh and Sami, 2018] also study the interactions logs gathered by the integrated development environments to compute Personal Software Process (PSP) [Humphrey, 2005] quality metrics.…”

Section: Project Influence On Software Qualitymentioning

confidence: 99%

Understanding the Impact of Development Efforts in Code Quality

Pérez‐Castillo¹,

Piattini²

2021

jucs

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Today, there is no company that does not attempt to control or assure software quality in a greater or lesser extent. Software quality has been mainly studied from the perspectives of the software product and the software process. However, there is no thorough research about how code quality is affected by the software development projects’ contexts. This study analyses how the evolution of the development effort (i.e., the number of developers and their contributions) influences the code quality (i.e., the number of bugs, code smells, cloning, etc). This paper presents a multiple case study that analyses 13 open-source projects from GitHub and SonarCloud, and retrieves more than 95,000 commits and more than 25,000 quality measures. The insights are that more developers or higher number of commits does not necessary influence worse quality levels. After applying a clustering algorithm, it is detected an inverse correlation in some cases where specific efforts were made to improve code quality. The size of commits and the relative weight of developers in their teams might also affect measures like complexity or cloning. Project managers can therefore understand the mentioned relationships and consequently make better decisions based on the information retrieved from code repositories.

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Empirical study on the relationship between developer's working habits and efficiency

Cited by 6 publications

References 8 publications

Software professionals during the COVID-19 pandemic in Turkey: Factors affecting their mental well-being and work engagement in the home-based work setting

Software professionals during the COVID-19 pandemic in Turkey: Factors affecting their mental well-being and work engagement in the home-based work setting

Why Do People Give Up FLOSSing? A Study of Contributor Disengagement in Open Source

Understanding the Impact of Development Efforts in Code Quality

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