A Quantitative Study of Java Software Buildability
Mat\'u\v{s} Sul\'ir, Jaroslav Porub\"an

TL;DR
This study systematically evaluates the build success rate of over 7,200 open source Java projects, revealing that more than 38% fail to build, mainly due to dependency issues, highlighting buildability challenges in Java software.
Contribution
It provides the first large-scale quantitative analysis of Java build success rates and identifies key factors influencing build failures.
Findings
38% of Java projects fail to build automatically
Dependency issues are the primary cause of build failures
Factors affecting build success are systematically analyzed
Abstract
Researchers, students and practitioners often encounter a situation when the build process of a third-party software system fails. In this paper, we aim to confirm this observation present mainly as anecdotal evidence so far. Using a virtual environment simulating a programmer's one, we try to fully automatically build target archives from the source code of over 7,200 open source Java projects. We found that more than 38% of builds ended in failure. Build log analysis reveals the largest portion of errors are dependency-related. We also conduct an association study of factors affecting build success.
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