12 citations · 21 across the 6 of their papers we have counts for
12 papers
The Evolving Landscape of Software Performance Engineering
Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan
Satisfactory software performance is essential for the adoption and the success of a product. In organizations that follow traditional software development models (e.g., waterfall)…
Code Smells in Machine Learning Systems
Jiri Gesi, Siqi Liu, Jiawei Li +6
As Deep learning (DL) systems continuously evolve and grow, assuring their quality becomes an important yet challenging task. Compared to non-DL systems, DL systems have more compl…
Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn
Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar +2
The pace and volume of code churn necessary to evolve modern software systems present challenges for analyzing the performance impact of any set of code changes. Traditional method…
The Unexplored Terrain of Compiler Warnings
Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan +1
The authors' industry experiences suggest that compiler warnings, a lightweight version of program analysis, are valuable early bug detection tools. Significant costs are associate…
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis
Rangeet Pan, Vu Le, Nachiappan Nagappan +3
Forking structure is widespread in the open-source repositories and that causes a significant number of merge conflicts. In this paper, we study the problem of textual merge confli…
SoftNER: Mining Knowledge Graphs From Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar +2
The move from boxed products to services and the widespread adoption of cloud computing has had a huge impact on the software development life cycle and DevOps processes. Particula…