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Bug Classification Using Program Slicing Metrics

https://doi.org/10.1109/scam.2006.6

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpt.1796openalex-snapshot

An Introduction to Machine Learning

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Data Mining: Practical Machine Learning Tools and Techniques

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Ordering Fault-Prone Software Modules

inferredcites →https://doi.org/10.1109/32.310673openalex-snapshot

Measuring functional cohesion

inferredcites →https://doi.org/10.1109/icse.2003.1201219openalex-snapshot

Hipikat: recommending pertinent software development artifacts

inferredcites →https://doi.org/10.1109/icsm.2000.883028openalex-snapshot

Identifying reasons for software changes using historic databases

inferredcites →https://doi.org/10.1109/icsm.2003.1235403openalex-snapshot

Populating a Release History Database from version control and bug tracking systems

inferredcites →https://doi.org/10.1109/issre.1998.730899openalex-snapshot

Predicting the order of fault-prone modules in legacy software

inferredcites →https://doi.org/10.1109/metric.1993.263799openalex-snapshot

Slice based metrics for estimating cohesion

inferredcites →https://doi.org/10.1109/tse.1984.5010248openalex-snapshot

Program Slicing

inferredcites →https://doi.org/10.1109/tse.2005.112openalex-snapshot

Empirical validation of object-oriented metrics on open source software for fault prediction

inferredcites →https://doi.org/10.1109/wcre.2004.34openalex-snapshot

Slice-based cohesion metrics and software intervention

inferredcites →https://doi.org/10.1142/9789811201967_0001openalex-snapshot

Introduction to Machine Learning

inferredcites →https://doi.org/10.1145/1082983.1083147openalex-snapshot

When do changes induce fixes?

inferredcites →https://doi.org/10.1145/1083142.1083147openalex-snapshot

When do changes induce fixes?

inferredcites →https://doi.org/10.1145/24039.24041openalex-snapshot

The program dependence graph and its use in optimization

inferredcites →https://doi.org/10.1145/77606.77608openalex-snapshot

Interprocedural slicing using dependence graphs

inferredcites →https://doi.org/10.5555/776816.776866openalex-snapshot

Hipikat: recommending pertinent software development artifacts

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Micro process analysis of maintenance effort: an open source software case study using metrics based on program slicing

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srcSlice: very efficient and scalable forward static slicing

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An empirical study of software change classification with imbalance data‐handling methods

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Empirical Evaluation of Hunk Metrics as Bug Predictors

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Analysis of Bug Fixing Processes Using Program Slicing Metrics

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SUDS: an infrastructure for creating dynamic software defect detection tools

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Empirical analysis of network measures for predicting high severity software faults

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Empirical analysis of network measures for effort-aware fault-proneness prediction

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Mining software repositories for adaptive change commits using machine learning techniques

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Deep Learning for Software Vulnerabilities Detection Using Code Metrics

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Smell-Aware Bug Classification

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The Effectiveness of Hidden Dependence Metrics in Bug Prediction

inferred← citeshttps://doi.org/10.1109/apsec.2012.105openalex-snapshot

Experimental Study of Quantitative Analysis of Maintenance Effort Using Program Slicing-Based Metrics

inferred← citeshttps://doi.org/10.1109/icaet63349.2025.10932191openalex-snapshot

BugWatch: A Comprehensive Approach to Classification and Redundancy Detection in Software Testing

inferred← citeshttps://doi.org/10.1109/icpc.2009.5090026openalex-snapshot

A plethora of paths

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Domain-based change propagation analysis: An enterprise system case study

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The Relationship Between Cognitive Complexity and the Probability of Defects

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An Empirical Study on Bugs Inside PyTorch: A Replication Study

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Are Anti-patterns Coupled? An Empirical Study

inferred← citeshttps://doi.org/10.1109/qrs62785.2024.00039openalex-snapshot

Employing CNN with Spatial Pyramid Pooling for Predicting Software Defects through Image Analysis

inferred← citeshttps://doi.org/10.1109/saner48275.2020.9054836openalex-snapshot

Slice-Based Cognitive Complexity Metrics for Defect Prediction

inferred← citeshttps://doi.org/10.1109/scam.2007.28openalex-snapshot

Statement-Level Cohesion Metrics and their Visualization

inferred← citeshttps://doi.org/10.1109/seaa.2009.94openalex-snapshot

Fault Analysis in OSS Based on Program Slicing Metrics

inferred← citeshttps://doi.org/10.1109/tse.2007.70773openalex-snapshot

Classifying Software Changes: Clean or Buggy?

inferred← citeshttps://doi.org/10.1109/tse.2014.2370048openalex-snapshot

Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study

inferred← citeshttps://doi.org/10.1109/wcre.2012.52openalex-snapshot

A Very Efficient and Scalable Forward Static Slicing Approach

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A New Standard of Choosing Slicing Criterion

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Predicting buggy changes inside an integrated development environment

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Assessing work for static software bug detection

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Program slicing-based cohesion measurement

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PIE

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A Clairvoyant Approach to Evaluating Software (In)Security

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What if a bug has a different origin?

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How C++ Templates Are Used for Generic Programming

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Ranking source code static analysis warnings for continuous monitoring of free/libre/open source software repositories

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Predicting Software Flaws with Low Complexity Models based on Static Analysis Data

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An Empirical Study of Different Types of Changes in the Eclipse Project

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A study on low complexity models to predict flaws in the Linux source code

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Predicción de defectos en un lenguaje dinámicamente tipado usando métricas estáticas y de cambio

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Data Mining Techniques for Software Quality Prediction

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Data Mining Techniques for Software Quality Prediction

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CLUBAS: An Algorithm and Java Based Tool for Software Bug Classification Using Bug Attributes Similarities

inferred← citeshttps://doi.org/10.5120/11941-7735openalex-snapshot

Program Slicing Techniques and their Need in Aspect Oriented Programming

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An Automatic code generation through UML Meta modelling and transformation of Model for electronic government framework

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Certified algorithms for program slicing

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