21 citations · 41 across the 7 of their papers we have counts for
7 papers
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…
Assessing the Early Bird Heuristic (for Predicting Project Quality)
N. C. Shrikanth, Tim Menzies
Before researchers rush to reason across all available data or try complex methods, perhaps it is prudent to first check for simpler alternatives. Specifically, if the historical d…
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 Engineering
N. C. Shrikanth, William Nichols, Fahmid Morshed Fahid +1
Software engineering is a highly dynamic discipline. Hence, as times change, so too might our beliefs about core processes in this field. This paper checks some five beliefs that o…
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…