awesome-software-analytics

a fresh look at version control data mining to uncover behavioral patterns of development organizations.

software analysis of industry software projects using a graph database.

shows how version control systems can reveal communication problems in development teams.

introduction to automated code improvement with the deterministic OpenRewrite refactoring engine in the era of Large Language Models.

an overview of the history and goals of Software Analytics. I especially like the part where Margaret talks about the risks of Software Analytics like data quality issues, missing trustworthiness of results, and ethical concerns.

usage of graph-based algorithms to spot problems in large distrubuted software systems.

a book full of great software analysis on real code bases.

a comprehensive work by some Software Analytics luminaries providing a good fundament for Software Analytics.

a collection of short articles in the area of Software Analytics. Good and neutral discussion of the advances in the field and the limits of data-driven approaches.

discusses (among other topics) which types of software data can be used with existing data mining techniques.

a kind of meta-level paper about the questions that arise during software development which may be answered with Software Analytics.

A real classic about the idea of using software version control systems to guide software changes (awarded with the ICSE 10 Years Most Influential Paper Award 2014).

contains a critical discussion on how far has Software Analytics got in the recent years. Includes a short overview of influential papers as well.

Makes you aware of various aspects that you have to consider if you want to implement Software Analytics in the industry.

static analysis tools for many programming languages, build tools, config files and more.

tools for in-depth runtime analysis.

lists various Application Performance Management tools that can help you to find performance problems.

a curated repository of software engineering repository mining data sets.

cool links & research papers related to Machine Learning applied to source code (MLonCode).

a curated list of awesome network analysis resources. If you want to dig deeper into graph-based analysis of software, you can find plenty of resources in this list.

a collection of talks about early adoptions of Software Analytics in practice.

Very detailed and precise explanations with focus on the visualization of software analyses.

discusses the application of Data Science onto software data to answer questions that arise in software development projects.

introductory article on Software Analytics (written in German).

provides an aggregate view of Software Development Analytics studies from 2010 to 2019.

looks at past papers that applied Software Analytics in practice.