1st International Workshop on Big Data Software Engineering (BIGDSE 2015)

A guest editorial: special issue on search based software engineering and data mining

Actionable = Cluster + Contrast?

An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE

Applications of abduction: knowledge-level modelling

Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction)

scientific article published on 14 April 2020

Cross-Project Data for Software Engineering

scholarly article by Tim Menzies published December 2015 in Computer

Data Mining Methods and Cost Estimation Models: Why is it So Hard to Infuse New Ideas?

GALE: Geometric Active Learning for Search-Based Software Engineering

scholarly article by Joseph Krall et al published 1 October 2015 in IEEE Transactions on Software Engineering

Guest editorial: special issue on realizing AI synergies in software engineering

Guest editorial: special issue on realizing AI synergies in software engineering (part 2)

Guest editorial: special multi-issue on selected topics in Automated Software Engineering

How not to do it

LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction

Learning Mitigations for Pilot Issues When Landing Aircraft (via Multiobjective Optimization and Multiagent Simulations)

Less is more: Minimizing code reorganization using XTREE

article by Rahul Krishna et al published August 2017 in Information and Software Technology

Negative results for software effort estimation

Optimizing data collection for public health decisions: a data mining approach

scientific article

The Art and Science of Analyzing Software Data; Quantitative Methods

Too much automation? the bellwether effect and its implications for transfer learning

Topic modeling of NASA space system problem reports

Tuning for software analytics: Is it really necessary? ⬇️

scholarly article by Wei Fu et al published August 2016 in Information and Software Technology

Using Stakeholder Preferences to Make Better Architecture Decisions

Using bad learners to find good configurations