developer behavior
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GitHub is a product improvement stage that advances participation and joint exertion in project advancement. Generally, engineers investigate related activities to reuse capacities and during investigating they coincidentally find a few elements that might help them in their undertaking. Recommending developers some projects that are similar to their work can save their time. Yet, it is difficult getting relevant projects amongst the pool of many projects on GitHub. Besides, every other user may have different requirements and choices for the project. A recommendation system saves developers from spending their time searching for projects that can help them in developing. In this paper, we propose an interactive and customized recommendation approach that recognizes software project features and developer behavior. This proposed approach naturally suggests the top-N most comparable programming projects. The outcomes utilizing information slithered from GitHub shows that our proposed approach suggest significant tasks with high review at cutoff 5 and 10.


2021 ◽  
Vol 70 ◽  
pp. 101183
Author(s):  
Sri Maryati ◽  
An Nisaa Siti Humaira ◽  
Anita Afriana ◽  
Raden Ajeng Koesoemo Roekmi ◽  
Ninik Suhartini

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Bo Yang ◽  
Qian Yu ◽  
Huai Liu ◽  
Yuze He ◽  
Chao Liu

Author(s):  
Jongsoon Park ◽  
David Kuhns

The IoT industry is facing a significant demand to provide more efficient paths for developer communities. At the same time, products are often developed without consideration of usability or are limited to general usability heuristics. Moreover, there is not much research on developers’ behavioral characteristics and its impact on human performance. This paper attempts to show how understanding their skill-, rule-, and knowledge-based behaviors can benefit developer experience and performance efficiency. This study references recent developer products to highlight 1) characteristics of developer behavior and 2) key system design considerations that help improve developer performance. We also discuss gaps identified in industry practices and the opportunities towards more consideration of the cognitive aspects in developer product design processes.


2018 ◽  
Vol 44 (11) ◽  
pp. 1100-1111 ◽  
Author(s):  
Kostadin Damevski ◽  
Hui Chen ◽  
David C. Shepherd ◽  
Nicholas A. Kraft ◽  
Lori Pollock

Author(s):  
Kostadin Damevski ◽  
Hui Chen ◽  
David C. Shepherd ◽  
Nicholas A. Kraft ◽  
Lori Pollock

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