Working Conference on Mining Software Repositories
摘要截稿: 2020-01-09
全文截稿: 2020-01-16
开会时间: 2020-05-25
会议难度:
CCF分类: C类
会议地点: Seoul,South Korea
Overview
The technical track of MSR 2020 solicits novel, high quality submissions on a wide range of topics, including (but not limited to):
Analysis of software data with the goal of improving software productivity and reliability
Analysis and modeling of runtime information to optimize deployment, delivery and error handling in software development processes
Analysis of change patterns and trends to assist in future development
Analysis of natural language artifacts in software data
Analysis of software ecosystems and mining of software data across multiple projects
Approaches, applications, and tools for mining software data
Artificial intelligence for software engineering
Characterization, classification, and prediction of software defects based on analysis of software data
Characterization of bias in mining and guidelines to ensure the quality of results
Data science for software projects
Empirical studies on extracting data from large long-lived and/or industrial projects
Machine learning for software engineering
Meta-models, exchange formats, and infrastructure tools to facilitate the sharing of extracted data and to encourage reuse and repeatability
Methods of integrating mined data from various historical sources
Mining code review data
Mining execution traces and logs
Mining human and social aspects of development
Mining interaction data
Mining mobile app stores and app reviews
Mining software licensing and copyrights
Models for social and development processes in large software projects
Models of software project evolution based on historical repository data
Models and processes for improving the quality of machine learning pipelines
Natural language processing in software engineering
Prediction and modeling of software quality
Privacy and ethics in mining software data
Release engineering, including continuous integration, delivery and deployment
Search-driven software development, including search techniques to assist developers in finding suitable components and code fragments for reuse, and software search engines
Software analytics
Software engineering for artificial intelligence and machine learning
Energy efficiency of software
Studies of programming language features and their usage
Techniques and tools for capturing new forms of software data such as effort data, fine-grained changes, and refactoring
Techniques to model reliability and defect occurrences
Visualization techniques and models of mined data