Exploring factors affecting developer abandonment of open source software projects

Kaur, Rajdeep; Chahal, Kuljit Kaur

doi:10.1002/smr.2484

Cited by 4 publications

(3 citation statements)

References 54 publications

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“…• Works focused on precision agriculture; The rationale for selecting works published since 2012 is based on the availability and cost of unmanned aerial systems (UAS) and 4G technologies, essential for precision agriculture, and which started to become mainstream around that year [25,26]. With respect to works with code updated in the last 3 years, this was an empirically selected time interval to exclude deprecated or abandoned software, a common occurrence in open source projects [27].…”

Section: Eligibility Criteria and Selection Proceduresmentioning

confidence: 99%

A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices

Santos

Fachada

Beko

et al. 2023

JSAN

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Technology plays a crucial role in the management of natural resources in agricultural production. Free and open-source software and sensor technology solutions have the potential to promote more sustainable agricultural production. The goal of this rapid review is to find exclusively free and open-source software for precision agriculture, available in different electronic databases, with emphasis on their characteristics and application formats, aiming at promoting sustainable agricultural production. A thorough search of the Google Scholar, GitHub, and GitLab electronic databases was performed for this purpose. Studies reporting and/or repositories containing up-to-date software were considered for this review. The various software packages were evaluated based on their characteristics and application formats. The search identified a total of 21 free and open-source software packages designed specifically for precision agriculture. Most of the identified software was shown to be extensible and customizable, while taking into account factors such as transparency, speed, and security, although some limitations were observed in terms of repository management and source control. This rapid review suggests that free and open-source software and sensor technology solutions play an important role in the management of natural resources in sustainable agricultural production, and highlights the main technological approaches towards this goal. Finally, while this review performs a preliminary assessment of existing free and open source solutions, additional research is needed to evaluate their effectiveness and usability in different scenarios, as well as their relevance in terms of environmental and economic impact on agricultural production.

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Section: Eligibility Criteria and Selection Proceduresmentioning

confidence: 99%

A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices

Santos

Fachada

Beko

et al. 2023

JSAN

View full text Add to dashboard Cite

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“…As different developer plays key functional roles in OSS projects [8,10,24], they must interact and evolve over time in the project [25][26][27]. These blockchain projects experience role migration phenomena [1,28]. Existing literature on OSS development community turnover, to the best of our knowledge, focuses primarily on developer motivation to join, sustain and leave [3,27,29,30].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Information systems (IS) and related software engineering (SE) developer turnover literature mainly concentrated on creating behavioural theories and backing their evidence with empirical investigation [11,24,[26][27][28]. Moreover, an overwhelming majority of studies have concentrated on enhancing the efficiency of ML algorithms via archive record datasets and a particular ML algorithm [18,42,43].…”

Section: Comparative Analysismentioning

confidence: 99%

Comparative Performance of Machine Learning Algorithms for Predicting Future Committer in Blockchain Projects

Alawiyah Abd Wahab,

Huda H. Ibrahim,

Shehu M. Sarkintudu

et al. 2023

ARASET

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The success of blockchain projects depends, to a large extent, on the developer's involvement. Source code-commit privilege to the project is typically restricted to a few developers known as committers. Project leaders continuously search for new committers to evolve into a high-quality blockchain. However, promoting developers into committers is risky, mainly when the promoted committers exhibit low involvement behaviour. Hence, the committer assessment process is critical to the successful evolution of blockchain projects. The phenomenon of developer induction as code committers has previously been explored in the literature. However, previous studies employed objective measures such as the number of bugs report and code patches to appraise the developers activities for promotion purposes. Although these approaches are significant, behavioural tendencies influencing developers' activities are ignored. There have, however, been comparatively few investigations on a subjective measure that evaluate developers' perception of their activities for promotion purposes. This study aims to appraise blockchain developers' perceptions for predicting future committers in blockchain projects. In this study, 173 blockchain developers’ perceptions were gathered. The study employed hybrid analyses such as Structural Equation Modelling (SEM) to first analyse the survey data and Machine Learning (ML) algorithms to predict future committers. The performance of various ML algorithms was evaluated compared to classification performance indicators such as the F1 score, accuracy, precision, and AUC. In addition, the study also investigates the most important factors that predict future committers. The results indicate that XGBoost algorithm achieves the best performance with an accuracy of 0.94. Moreover, the most important factors in predicting future committers in a blockchain project are project desertion, developer involvement, decision-right delegation and system integration.

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Examining the Software Developers’ Perception in Open-Source Software of Blockchain Project Using Association Rules Mining

Abd Wahab,

Hj. Ibrahim,

SarkinTudu

et al. 2024

Communications in Computer and Information Science

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Exploring factors affecting developer abandonment of open source software projects

Cited by 4 publications

References 54 publications

A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices

A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices

Comparative Performance of Machine Learning Algorithms for Predicting Future Committer in Blockchain Projects

Examining the Software Developers’ Perception in Open-Source Software of Blockchain Project Using Association Rules Mining

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