Do attention and memory explain the performance of software developers?

Piantadosi, Valentina; Scalabrino, Simone; Serebrenik, Alexander; Novielli, Nicole; Oliveto, Rocco

doi:10.1007/s10664-023-10316-9

Cited by 2 publications

(4 citation statements)

References 86 publications

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“…A comprehensive understanding of the field and a depth of knowledge gained over years of working in numerous positions and technologies are correlated with this dimension of experience [28,29]. This definition was used by three out of the studies in our review [2,7,21] . Project Experience, on the other hand, places more emphasis on the volume and variety of work involved in a given project.…”

Section: Definitions Of Experiencementioning

confidence: 99%

“…Career Experience and Code Quality. From the 3 studies that used career experience as a definition of experience, 2 concluded that more experience relates to better code quality [7,21] and one did not find any evidence of a relationship between the two factors [2]. Interestingly, no study on this dimension used technical debt or code style as a metric of code quality, only bugs.…”

Section: Relationship Between Experience and Code Qualitymentioning

confidence: 99%

“…Interestingly, no study on this dimension used technical debt or code style as a metric of code quality, only bugs. Given that the experience was manually collected via questionnaire in all these studies, 2 also manually evaluated the code's correctness [2,7]. Despite having no study pointing out that more years of experience relates to worst code quality, the evidence to support the contrary is sparse, with only 2 studies pointing the opposite and one with inconclusive results.…”

Section: Relationship Between Experience and Code Qualitymentioning

confidence: 99%

“…The concept of code quality itself is diverse, with aspects such as technical debt [4], bug frequency [5], and adherence to coding standards [6]. Additionally, there are a similar diversity while defining a developer's experience, that can relate to years worked in the field [7] or contributions made to a project [8]. Previous work [2,3] in this field have yielded inconsistent findings.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Impact of Developer Experience on Code Quality: A Systematic Literature Review

Lopes,

Oliveira,

Figueiredo

2024

Anais Do XXVII Congresso Ibero-Americano Em Engenharia De Software (CIbSE 2024)

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The relationship between developer experience and code quality continues to provoke extensive debate and diverging interpretations in software engineering. To investigate this subject, we conducted a systematic literature review and identified 18 relevant papers from which we aim to answer an overarching research question: to what extent does developer experience impact on code quality? Our analysis reveals different definitions and dimensions for both developer experience and code quality, highlighting the complexity and multifaceted nature of their relationship. We also observed contradictory results on the impact of developer experience on code quality. This literature review contributes in two key ways. First, it synthesizes various perspectives on developer experience and code quality, offering a consolidated viewpoint of the current academic work. Second, it uncovers significant gaps in our understanding of the relationship between these two concepts, pinpointing areas for further research and emphasizing the needs for more focused studies to bridge these knowledge gaps.

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Section: Definitions Of Experiencementioning

confidence: 99%

Section: Relationship Between Experience and Code Qualitymentioning

confidence: 99%

Section: Relationship Between Experience and Code Qualitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the Impact of Developer Experience on Code Quality: A Systematic Literature Review

Lopes,

Oliveira,

Figueiredo

2024

Anais Do XXVII Congresso Ibero-Americano Em Engenharia De Software (CIbSE 2024)

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What Could Possibly Go Wrong: Undesirable Patterns in Collective Development

Evtikhiev,

Koshchenko,

Kovalenko

2024

ACM Trans. Softw. Eng. Methodol.

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Software development, often perceived as a technical endeavour, is fundamentally a social activity requiring collaboration among team members. Acknowledging this, the software development community has devised strategies to address possible collaboration-related shortcomings. Various studies have attempted to capture the social dynamics within software engineering. These studies developed methods to identify numerous teamwork issues and proposed various approaches to address them. However, there is a need for a comprehensive bottom-up exploration from practitioner’s perceptions to common patterns. This paper introduces the concept of undesirable patterns in collective development, referring to potential teamwork problems that may escalate if unaddressed. Through 38 in-depth exploratory interviews, we identify and classify 42 patterns, revealing their origins and consequences. To the best of our knowledge, some patterns, like Teamwork pipeline bottleneck , were never reported before. Subsequent surveys, 436 and 968 participants each, explore the significance and frequency of the undesirable patterns, and evaluate potential tools and features to manage these patterns. The study contributes a nuanced understanding of undesirable patterns, evaluating their impact and proposing pragmatic tools and features for industrial application. The findings provide a valuable foundation for further in-depth studies and the development of tools to enhance collaborative software engineering practices.

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Do attention and memory explain the performance of software developers?

Cited by 2 publications

References 86 publications

Evaluating the Impact of Developer Experience on Code Quality: A Systematic Literature Review

Evaluating the Impact of Developer Experience on Code Quality: A Systematic Literature Review

What Could Possibly Go Wrong: Undesirable Patterns in Collective Development

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