<scp>SPOON</scp>: A library for implementing analyses and transformations of Java source code

Pawlak, Renaud; Monperrus, Martin; Petitprez, Nicolas; Noguera, Carlos; Seinturier, Lionel

doi:10.1002/spe.2346

Cited by 211 publications

(139 citation statements)

References 39 publications

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“…Retrieving and Comparing Annotations. We use the Spoon library [45] to retrieve annotations in a Java file. Spoon is a library that parses source code file into the AST and provides a set of APIs for conducting program analysis.…”

Section: Data Collectionmentioning

confidence: 99%

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice

Bai

Seinturier

et al. 2021

IIEEE Trans. Software Eng.

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Annotations have been formally introduced into Java since Java 5. Since then, annotations have been widely used by the Java community for different purposes, such as compiler guidance and runtime processing. Despite the ever-growing use, there is still limited empirical knowledge about the actual usage of annotations in practice, the changes made to annotations during software evolution, and the potential impact of annotations on code quality. To fill this gap, we perform the first large-scale empirical study about Java annotations on 1,094 notable open-source projects hosted on GitHub. Our study systematically investigates annotation usage, annotation evolution, and annotation impact, and generates 10 novel and important findings. We also present the implications of our findings, which shed light for developers, researchers, tool builders, and language or library designers in order to improve all facets of Java annotation engineering.

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Section: Data Collectionmentioning

confidence: 99%

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice

Bai

Seinturier

et al. 2021

IIEEE Trans. Software Eng.

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“…In this paper, we present a new level of granularity of AST, named GTSpoon, which is based on the Spoon meta-model. 2 Spoon [13] is a library to analyze, transform, rewrite, transpile Java source code.…”

Section: Ast-based Analysis Of Revisionsmentioning

confidence: 99%

Coming: A Tool for Mining Change Pattern Instances from Git Commits

Martínez

Monperrus

2019

2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

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Software repositories such as Git have become a relevant source of information for software engineer researcher. For instance, the detection of Commits that fulfill a given criterion (e.g., bugfixing commits) is one of the most frequent tasks done to understand the software evolution. However, to our knowledge, there is not open-source tools that, given a Git repository, returns all the instances of a given change pattern.In this paper we present Coming, a tool that takes an input a Git repository and mines instances of change patterns on each commit. For that, Coming computes fine-grained changes between two consecutive revisions, analyzes those changes to detect if they correspond to an instance of a change pattern (specified by the user using XML), and finally, after analyzing all the commits, it presents a) the frequency of code changes and b) the instances found on each commit.We evaluate Coming on a set of 28 pairs of revisions from Defects4J, finding instances of change patterns that involve If conditions on 26 of them.

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“…All those transformations have been implemented in a tool called NPEfix, which has been made publicly p← patch corresponding to d 10: add p to P 11: if t succeeds then 12: add p to Q 13: end if 14: end for available for sake of reproducible research and open science 2 . The transformations use the Spoon library [18].…”

Section: E Implementationmentioning

confidence: 99%

Dynamic patch generation for null pointer exceptions using metaprogramming

Durieux

Cornu

Seinturier

et al. 2017

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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Null pointer exceptions (NPE) are the number one cause of uncaught crashing exceptions in production. In this paper, we aim at exploring the search space of possible patches for null pointer exceptions with metaprogramming. Our idea is to transform the program under repair with automated code transformation, so as to obtain a metaprogram. This metaprogram contains automatically injected hooks, that can be activated to emulate a null pointer exception patch. This enables us to perform a fine-grain analysis of the runtime context of null pointer exceptions. We set up an experiment with 16 real null pointer exceptions that have happened in the field. We compare the effectiveness of our metaprogramming approach against simple templates for repairing null pointer exceptions.

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SPOON: A library for implementing analyses and transformations of Java source code

Cited by 211 publications

References 39 publications

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice

Coming: A Tool for Mining Change Pattern Instances from Git Commits

Dynamic patch generation for null pointer exceptions using metaprogramming

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