What Types of Defects Are Really Discovered in Code Reviews?

No abstract is available for this paper.

• Publication year

  2009

• Venue

  IEEE Transactions on Software Engineering

• Publication date

  2009-05-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/TSE.2008.71
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A discipline for software engineering

  2012influential reference
• Systema Naturae: Per Regna Tria Naturae, Secundum Classes, Ordines, Genera, Species, Cum Characteribus, Differentiis, Synonymis, Locis,

  2011cited by this paper
• Qualitative data analysis

  2011cited by this paper
• Software Testing Techniques

  2007cited by this paper
• Perspective-Based Reading: A Replicated Experiment Focused on Individual Reviewer Effectiveness

  2006cited by this paper
• What do we know about defect detection methods? [software testing]

  2006cited by this paper
• Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults

  2006cited by this paper
• How are Java software developers using the Elipse IDE?

  2006cited by this paper
• Drivers for software refactoring decisions

  2006cited by this paper
• Maintaining mental models: a study of developer work habits

  2006cited by this paper
• Refactoring Practice: How it is and How it Should be Supported - An Eclipse Case Study

  2006cited by this paper
• The structural complexity of software an experimental test

  2005cited by this paper
• Likert scales: how to (ab)use them

  2004cited by this paper
• A survey of software refactoring

  2004cited by this paper
• Predicting Maintenance Performance Using Object-Oriented Design Complexity Metrics

  2003cited by this paper
• Practical Software Testing

  2003cited by this paper
• An industrial case study of the verification and validation activities

  2003influential reference
• State‐of‐the‐art: software inspections after 25 years

  2002cited by this paper
• Test Driven Development: By Example

  2002cited by this paper
• Preliminary Guidelines for Empirical Research in Software Engineering

  2002cited by this paper
• Extreme Programming Explained

  2002cited by this paper
• An empirical evaluation of six methods to detect faults in software

  2002cited by this paper
• A Controlled Experiment for Evaluating Quality Guidelines on the Maintainability of Object-Oriented Designs

  2001cited by this paper
• Evaluating Software Architectures: Methods and Case Studies

  2001cited by this paper
• Top 10 list [software development]

  2001cited by this paper
• Does the modern code inspection have value?

  2001influential reference
• A Comprehensive Evaluation of Capture-Recapture Models for Estimating Software Defect Content

  2000cited by this paper
• Are the Perspectives Really Different? – Further Experimentation on Scenario-Based Reading of Requirements

  2000cited by this paper
• An encompassing life cycle centric survey of software inspection

  2000cited by this paper
• Qualitative Methods in Empirical Studies of Software Engineering

  1999cited by this paper
• Improving the Design of Existing Code

  1999cited by this paper
• Quantitative modeling of software reviews in an industrial setting

  1999cited by this paper
• Studying the effects of code inspection and structural testing on software quality

  1998cited by this paper
• The repeatability of code defect classifications

  1998influential reference
• Managerial Use of Metrics for Object-Oriented Software: An Exploratory Analysis

  1998cited by this paper
• An Experimental Evaluation of an Experience-Based Capture-Recapture Method in Software Code Inspections

  1998influential reference
• Comparing and combining software defect detection techniques: a replicated empirical study

  1997cited by this paper
• Software Quality: The Elusive Target

  1996cited by this paper
• The empirical investigation of Perspective-Based Reading

  1995cited by this paper
• An Empirical Evaluation of Three Defect-Detection Techniques

  1995cited by this paper
• Comparing Detection Methods for Software Requirements Inspections: A Replicated Experiment

  1995cited by this paper
• Software Inspection

  1994cited by this paper
• Testing Computer Software

  1994cited by this paper
• Object-oriented metrics that predict maintainability

  1993cited by this paper
• Software complexity and maintenance costs

  1993influential reference
• In-Process Evaluation for Software Inspection and Test

  1993influential reference
• The WyCash portfolio management system

  1992cited by this paper
• FOR THE COMMANDER

  1992cited by this paper
• Orthogonal Defect Classification - A Concept for In-Process Measurements

  1992cited by this paper
• Practical Software Metrics for Project Management and Process Improvement

  1992cited by this paper
• Experience with inspection in ultralarge-scale development

  1991influential reference
• Typographic style is more than cosmetic

  1990cited by this paper
• Treating ordinal scales as interval scales: an attempt to resolve the controversy.

  1990cited by this paper
• Standard Glossary of Software Engineering Terminology

  1990cited by this paper
• Debugging Effort Estimation Using Software Metrics

  1990cited by this paper
• Software restructuring

  1989cited by this paper
• Modifying AFOTEC's (Air Force Operational Test and Evaluation Center's) Software Maintainability Evaluation Guidelines

  1988cited by this paper
• Program Readability: Procedures Versus Comments

  1988cited by this paper
• A Controlled Expeniment on the Impact of Software Structure on Maintainability

  1987cited by this paper
• Comparing the Effectiveness of Software Testing Strategies

  1987influential reference
• Active design reviews: principles and practices

  1985cited by this paper
• Program indentation and comprehensibility

  1983cited by this paper
• Quasi-experimentation: Design and analysis issues for field settings: by Thomas D. Cook and Donald T. Campbell. Chicago: Rand McNally, 1979

  1980cited by this paper
• Quasi-experimentation: Design & analysis issues for field settings

  1979cited by this paper
• A controlled experiment in program testing and code walkthroughs/inspections

  1978influential reference
• Design and Code Inspections to Reduce Errors in Program Development

  1976cited by this paper

• Are We All Using Agents the Same Way? An Empirical Study of Core and Peripheral Developers Use of Coding Agents

  2026cites this paper
• Following Dragons: Code Review-Guided Fuzzing

  2026cites this paper
• Understanding and Improving Code Review of Changes in Build Systems

  2025cites this paper
• Product Guardian Role and Socio-Technical Debt Management in Large-Scale Agile

  2025cites this paper
• Support, Not Automation: Towards AI-supported Code Review For Code Quality and Beyond

  2025cites this paper
• Enhancing Code Review through Fuzzing and Likely Invariants

  2025cites this paper
• Understanding Comparative Comprehension Barriers for Students during Code Review through Simplification

  2025cites this paper
• Fine-Tuning Multilingual Language Models for Code Review: An Empirical Study on Industrial C# Projects

  2025cites this paper
• Peer Code Review Methods: An Experience Report from a Data Structures and Algorithms Course

  2025cites this paper
• What Types of Code Review Comments Do Developers Most Frequently Resolve?

  2025cites this paper
• Tracing the Lifecycle of Architecture Technical Debt in Software Systems: A Dependency Approach

  2025cites this paper
• A fine-grained taxonomy of code review feedback in TypeScript projects

  2025cites this paper
• Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation

  2025cites this paper
• Technical Debt in Pull Requests: Insights from Apache Projects

  2025cites this paper
• Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification

  2025influential citation
• Visual Integration of Static and Dynamic Software Analysis in Code Reviews via Software City Visualization

  2024cites this paper
• Code Review Automation: Strengths and Weaknesses of the State of the Art

  2024cites this paper
• Improving Automated Code Reviews: Learning from Experience

  2024cites this paper
• Review-Based Bot Smell Classification in Robotic Process Automation

  2024cites this paper
• Don't forget to change these functions! recommending co-changed functions in modern code review

  2024cites this paper
• An Empirical Study of Static Analysis Tools for Secure Code Review

  2024cites this paper
• Asking Students to Refactor their Code: A Simple and Valuable Exercise

  2024cites this paper
• Do code reviews lead to fewer code smells?

  2024cites this paper
• A Serious Game Approach to Introduce the Code Review Practice

  2024influential citation
• Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?

  2024cites this paper
• Towards Comprehensive Assessment of Code Quality at CS1-Level: Tools, Rubrics and Refactoring Rules

  2024cites this paper
• Identifying Factors Contributing to “Bad Days” for Software Developers: A Mixed-Methods Study

  2024cites this paper
• Shaken, Not Stirred: How Developers Like Their Amplified Tests

  2024cites this paper
• Leveraging Reviewer Experience in Code Review Comment Generation

  2024cites this paper
• DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks

  2024cites this paper
• Structuring Meaningful Code Review Automation in Developer Community

  2024cites this paper
• An Eye-Tracking Study on the Use of Split/Unified Code Change Views for Bug Detection

  2023cites this paper
• Toward effective secure code reviews: an empirical study of security-related coding weaknesses

  2023influential citation
• Automating Airborne Software Certification Compliance Using Cert DevOps

  2023cites this paper
• AI-powered peer review process

  2023cites this paper
• Empirical analysis of security-related code reviews in npm packages

  2023cites this paper
• On potential improvements in the analysis of the evolution of themes in code review comments

  2023influential citation
• Efficient Pattern-based Static Analysis Approach via Regular-Expression Rules

  2023cites this paper
• State‐of‐the‐practice in quality assurance in Java‐based open source software development

  2023cites this paper
• Modern Code Reviews—Survey of Literature and Practice

  2023cites this paper
• A Multi-Step Learning Approach to Assist Code Review

  2023cites this paper
• Mining Task-Specific Lines of Code Counters

  2023cites this paper
• What makes a code review useful to OpenDev developers? An empirical investigation

  2023cites this paper
• Quality Evaluation of Modern Code Reviews Through Intelligent Biometric Program Comprehension

  2023cites this paper
• Integrating Visual Aids to Enhance the Code Reviewer Selection Process

  2023cites this paper
• Towards Automated Classification of Code Review Feedback to Support Analytics

  2023cites this paper
• Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions

  2023cites this paper
• Recommending Code Reviews Leveraging Code Changes with Structured Information Retrieval

  2023cites this paper
• An empirical study of text-based machine learning models for vulnerability detection

  2023cites this paper
• The evolution of the code during review: an investigation on review changes

  2022influential citation
• Can static analysis tools find more defects?

  2022influential citation
• A Metric for Questions and Discussions Identifying Concerns in Software Reviews

  2022influential citation
• Reflections on software failure analysis

  2022cites this paper
• Leveraging test plan quality to improve code review efficacy

  2022cites this paper
• An Exploratory Study on Regression Vulnerabilities

  2022influential citation
• Concerns identified in code review: A fine-grained, faceted classification

  2022cites this paper
• CommentFinder: a simpler, faster, more accurate code review comments recommendation

  2022cites this paper
• How Does Code Reviewing Feedback Evolve?: A Longitudinal Study at Dell EMC

  2022influential citation
• An Empirical Study on Bug Severity Estimation Using Source Code Metrics and Static Analysis

  2022cites this paper
• Less is More: Supporting Developers in Vulnerability Detection during Code Review

  2022cites this paper
• Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study

  2022cites this paper
• Towards Improving Code Review Effectiveness Through Task Automation

  2022cites this paper
• What happens in my code reviews? An investigation on automatically classifying review changes

  2022influential citation
• Supporting Developers in Vulnerability Detection during Code Review: Mental Attitude and Security Checklists

  2022cites this paper
• Using peer code review to improve computational thinking in a blended learning environment: A randomized control trial

  2021cites this paper
• Assessing the Students' Understanding and their Mistakes in Code Review Checklists: An Experience Report of 1,791 Code Review Checklist Questions from 394 Students

  2021influential citation
• Improving the effectiveness of peer code review in identifying security defects

  2021cites this paper
• Studying Task Processes for Improving Programmer Productivity

  2021cites this paper
• "@alex, this fixes #9": Analysis of Referencing Patterns in Pull Request Discussions

  2021cites this paper
• A Survey on Data Science Techniques for Predicting Software Defects

  2021cites this paper
• Using code reviews to automatically configure static analysis tools

  2021cites this paper
• Why Security Defects Go Unnoticed During Code Reviews? A Case-Control Study of the Chromium OS Project

  2021cites this paper
• Developers perception of peer code review in research software development

  2021cites this paper
• Why and what happened? Aiding bug comprehension with automated category and causal link identification

  2021cites this paper
• Striffs: Architectural Component Diagrams for Code Reviews

  2021cites this paper
• Using a balanced scorecard to identify opportunities to improve code review effectiveness: an industrial experience report

  2021cites this paper
• A review of code reviewer recommendation studies: Challenges and future directions

  2021cites this paper
• A Review of Peer Code Review in Higher Education

  2020influential citation
• An Empirical Investigation of Relevant Changes and Automation Needs in Modern Code Review

  2020cites this paper
• Does code review really remove coding convention violations?

  2020cites this paper
• Knowledge Transfer in Modern Code Review

  2020cites this paper
• Creation of a Serious Game for Teaching Code Review: An Experience Report

  2020cites this paper
• Augmented Fine-Grained Defect Prediction for Code Review

  2020cites this paper
• Effectiveness of Using Guided Peer Code Review to Support Learning of Programming Concepts in CS2 Course: A Pilot Study

  2020cites this paper
• How Does Modern Code Review Impact Software Design Degradation? An In-depth Empirical Study

  2020cites this paper
• From Transient Information to Persistent Documentation: Enhancing Software Documentation

  2020cites this paper
• The Derivation of Defect Priorities and Core Defects through Impact Relationship Analysis between Embedded Software Defects

  2020cites this paper
• Code Reviews With Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities

  2020cites this paper
• Code review effectiveness: an empirical study on selected factors influence

  2020cites this paper
• An exploratory study on confusion in code reviews

  2020cites this paper
• Understanding the impact of GitHub suggested changes on recommendations between developers

  2020influential citation
• Understanding Developer Commenting in Code Reviews

  2019cites this paper
• Cognitive-support code review tools: improved efficiency of change-based code review by guiding and assisting reviewers

  2019cites this paper
• Final Year Students' Approaches to Implementing Complex Distributed Systems

  2019cites this paper
• How does code style inconsistency affect pull request integration? An exploratory study on 117 GitHub projects

  2019cites this paper
• Confusion in Code Reviews: Reasons, Impacts, and Coping Strategies

  2019cites this paper
• Characterizing and identifying reverted commits

  2019cites this paper
• Inferring Faults in Business Specifications Extracted from Source Code

  2019cites this paper
• Expanding the Scope of Statistical Computing: Training Statisticians to Be Software Engineers

  2019cites this paper
• Code Reviews, Software Inspections, and Code Walkthroughs: Systematic Mapping Study of Research Topics

  2019cites this paper