4 citations · 10 across the 3 of their papers we have counts for
5 papers · 1 filter
PyTorrent: A Python Library Corpus for Large-scale Language Models
Mehdi Bahrami, N. C. Shrikanth, Shade Ruangwan +6
A large scale collection of both semantic and natural language resources is essential to leverage active Software Engineering research areas such as code reuse and code comprehensi…
Early Life Cycle Software Defect Prediction. Why? How?
N. C. Shrikanth, Suvodeep Majumder, Tim Menzies
Many researchers assume that, for software analytics, "more data is better." We write to show that, at least for learning defect predictors, this may not be true. To demonstrate th…
Assessing Practitioner Beliefs about Software Defect Prediction
N. C. Shrikanth, Tim Menzies
Just because software developers say they believe in "X", that does not necessarily mean that "X" is true. As shown here, there exist numerous beliefs listed in the recent Software…
Assessing Developer Beliefs: A Reply to "Perceptions, Expectations, and Challenges in Defect Prediction"
Shrikanth N. C., Tim Menzies
It can be insightful to extend qualitative studies with a secondary quantitative analysis (where the former suggests insightful questions that the latter can answer). Documenting d…
Trustworthiness in Enterprise Crowdsourcing: a Taxonomy & evidence from data
Anurag Dwarakanath, Shrikanth N. C., Kumar Abhinav +1
In this paper we study the trustworthiness of the crowd for crowdsourced software development. Through the study of literature from various domains, we present the risks that impac…