4 citations · 4 across the 7 of their papers we have counts for
9 papers
Which Optimizer, At What Budget? A Tournament of Optimizers for Search-Based SE
Kishan Kumar Ganguly, Tim Menzies
Configuring and tuning modern software is unavoidable, expensive, and error-prone: a single system can expose hundreds of interacting options, and scoring one setting can mean a fu…
Zoom, Don't Wander: Why Regional Search Outperforms Pareto Reasoning and Global Optimization in Budget-Constrained SBSE
Kishan Kumar Ganguly, Tim Menzies
Traditional Search-Based Software Engineering (SBSE) assumes global search and full Pareto exploration are essential. We offer the following negative result based on a study of ove…
From Verification to Herding: Exploiting Software's Sparsity of Influence
Tim Menzies, Kishan Kumar Ganguly
Software verification is now costly, taking over half the project effort while failing on modern complex systems. We hence propose a shift from verification and modeling to herding…
From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines
Kishan Kumar Ganguly, Tim Menzies
Context: Exhaustive fuzzing of modern JavaScript engines is infeasible due to the vast number of program states and execution paths. Coverage-guided fuzzers waste effort on low-ris…
How Low Can You Go? The Data-Light SE Challenge
Kishan Kumar Ganguly, Tim Menzies
Much of Software Engineering (SE) research assumes that progress depends on massive datasets and CPU-intensive optimizers. Yet has this assumption been rigorously tested? The count…
MOOT: a Repository of Many Multi-Objective Optimization Tasks
Tim Menzies, Tao Chen, Yulong Ye +4
Software engineers must make decisions that trade off competing goals (faster vs. cheaper, secure vs. usable, accurate vs. interpretable, etc.). Despite MSR's proven techniques for…
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets
Kishan Kumar Ganguly, Tim Menzies
Traditional multi-objective optimization in software engineering (SE) can be slow and complex. This paper introduces the BINGO effect: a novel phenomenon where SE data surprisingly…
A Statistical Real-Time Prediction Model for Recommender System
Md Rifat Arefin, Minhas Kamal, Kishan Kumar Ganguly +1
Recommender system has become an inseparable part of online shopping and its usability is increasing with the advancement of these e-commerce sites. An effective and efficient reco…
Impact on the Productivity of Remotely Working IT Professionals of Bangladesh during the Coronavirus Disease 2019
Kishan Kumar Ganguly, Noshin Tahsin, Mridha Md. Nafis Fuad +5
Similar to the rest of the world, the recent pandemic situation has forced the IT professionals of Bangladesh to adopt remote work. The aim of this study is to find out whether rem…