Product Metrics for Automatic Identification of "Bad Smell" Design Problems in Java Source-Code

No abstract is available for this paper.

• Publication year

  2005

• Venue

  IEEE International Software Metrics Symposium

• Publication date

  2005-09-19

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/METRICS.2005.38
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• R-LIME : improving the risk dimension in the LIME model

  2006cited by this paper
• Software Project Management Practices: Failure Versus Success ©

  2004cited by this paper
• Quantifying the quality of object-oriented design: the factor-strategy model

  2004cited by this paper
• Evaluating object-oriented designs with link analysis

  2004cited by this paper
• A survey of software refactoring

  2004cited by this paper
• Review of David L. Parnas' "Designing Software for Ease of Extension and Contraction"

  2004cited by this paper
• A multidimensional performance model for consolidating balanced scorecards

  2003cited by this paper
• Measurement and Quality in Object-Oriented Design

  2002influential reference
• QEST nD: n-dimensional extension and generalisation of a software performance measurement model

  2002cited by this paper
• Designing Reusable Classes

  2001cited by this paper
• Improving the Design of Existing Code

  1999cited by this paper
• Multidimensional Software Performance Measurement Models: A Tetrahedron-based Design

  1999cited by this paper
• A quality factor for software

  1999influential reference
• The Refactoring Browser

  1998cited by this paper
• Heuristics for object-oriented design

  1997cited by this paper
• Object-Oriented Design Heuristics

  1996cited by this paper
• Extreme programming explained - embrace change

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

  1990cited by this paper
• Software Engineering: An Industrial Approach

  1988cited by this paper
• Productivity management : planning, measurement and evaluation, control, and improvement

  1985cited by this paper

• Analyzing Dependency Distribution Changes Arising from Code Smell Interactions

  2025cites this paper
• A systematic review on software code smells

  2025cites this paper
• EnseSmells : Deep ensemble and programming language models for automated code smells detection

  2025cites this paper
• MLAPW: A framework to assess the impact of feature selection and sampling techniques on anti-pattern prediction using WSDL metrics

  2025cites this paper
• The Influence of Code Smell Interactions on Software Maintainability

  2025cites this paper
• An Empirical Study on Measuring the Impact of Code Smells on Web Applications

  2024cites this paper
• Improving Code Smell Detection by Reducing Dimensionality Using Ensemble Feature Selection and Machine Learning

  2024cites this paper
• A Novel Transfer Learning Method for Code Smell Detection on Heterogeneous Data: A Feasibility Study

  2023influential citation
• Machine learning with word embedding for detecting web-services anti-patterns

  2023cites this paper
• The Smelly Eight: An Empirical Study on the Prevalence of Code Smells in Quantum Computing

  2023cites this paper
• Pre-trained Model Based Feature Envy Detection

  2023cites this paper
• FedCSD: A Federated Learning Based Approach for Code-Smell Detection

  2023cites this paper
• Code Smells in Machine Learning Systems

  2022cites this paper
• On the adoption and effects of source code reuse on defect proneness and maintenance effort

  2022influential citation
• Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study

  2022cites this paper
• Developers’ perception matters: machine learning to detect developer-sensitive smells

  2022cites this paper
• Selected Code-quality Characteristics and Metrics for Internet of Things Systems

  2022cites this paper
• A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class

  2021cites this paper
• A Novel Metric based Detection of Temporary Field Code Smell and its Empirical Analysis

  2021cites this paper
• Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection

  2021cites this paper
• There is more than one way to zen your Python

  2021cites this paper
• Exploratory study of the impact of project domain and size category on the detection of the God class design smell

  2021cites this paper
• Analyzing the Relationship between Software Metrics and Bad Smells Using Critical Metric Value (CMV)

  2021cites this paper
• A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell Detection

  2021cites this paper
• DEEP HYBRID FEATURES FOR CODE SMELLS DETECTION

  2020cites this paper
• A Systematic Literature Survey of Software Metrics, Code Smells and Refactoring Techniques

  2020cites this paper
• Bad Smell Detection Using Machine Learning Techniques: A Systematic Literature Review

  2020cites this paper
• A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension

  2020cites this paper
• Software smell detection techniques: A systematic literature review

  2020cites this paper
• Applying Machine Learning to Customized Smell Detection: A Multi-Project Study

  2020cites this paper
• Examining the Relationship of Code and Architectural Smells with Software Vulnerabilities

  2020cites this paper
• Classification of Technical Debts in Software Development Using Text Analytics

  2020cites this paper
• Feature Envy Detection based on Bi-LSTM with Self-Attention Mechanism

  2020cites this paper
• Understanding and Detecting Harmful Code

  2020cites this paper
• Machine learning techniques for code smell detection: A systematic literature review and meta-analysis

  2019cites this paper
• ACO OPTIMIZED FACT AND RULE BASED BAD SMELL DETECTION TECHNIQUE FOR OOPS PROGRAMMING

  2019cites this paper
• Toward a Smell-Aware Bug Prediction Model

  2019cites this paper
• RETRACTED ARTICLE: The smell of fear: on the relation between test smells and flaky tests

  2019cites this paper
• Code Smells Quantification: A Case Study on Large Open Source Research Codebase

  2019cites this paper
• Scented since the beginning: On the diffuseness of test smells in automatically generated test code

  2019cites this paper
• Improving Code Smell Predictions in Continuous Integration by Differentiating Organic from Cumulative Measures

  2019cites this paper
• Improving change prediction models with code smell-related information

  2019cites this paper
• Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection

  2019cites this paper
• Finding needles in a haystack: Leveraging co-change dependencies to recommend refactorings

  2019cites this paper
• Investigating on the Impact of Software Clones on Technical Debt

  2019cites this paper
• On the proposal and evaluation of a benchmark-based threshold derivation method

  2019cites this paper
• A Systematic Literature Review on Bad Smells–5 W's: Which, When, What, Who, Where

  2018cites this paper
• Context‐based approach to prioritize code smells for prefactoring

  2018cites this paper
• An Investigative Study on How Developers Filter and Prioritize Code Smells

  2018cites this paper
• The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells

  2018cites this paper
• The Example Guru: Suggesting Examples to Novice Programmers in an Artifact-Based Context

  2018cites this paper
• Are you smelling it? Investigating how similar developers detect code smells

  2018cites this paper
• Causes, impacts, and detection approaches of code smell: a survey

  2018cites this paper
• Towards a Taxonomy of Bad Smells Detection Approaches

  2018cites this paper
• Redundancy-free analysis of multi-revision software artifacts

  2018cites this paper
• A survey on software smells

  2018cites this paper
• Identifying technical debt through issue trackers

  2018cites this paper
• Automatic Test Smell Detection Using Information Retrieval Techniques

  2018cites this paper
• Are you still smelling it?: A comparative study between Java and Kotlin language

  2018cites this paper
• A systematic literature review on the detection of smells and their evolution in object‐oriented and service‐oriented systems

  2018cites this paper
• Automatic Detection of Feature Envy using Machine Learning Techniques

  2018cites this paper
• Understanding metric-based detectable smells in Python software: A comparative study

  2018cites this paper
• On the Relation of Test Smells to Software Code Quality

  2018cites this paper
• Investigating code smell co-occurrences using association rule learning: A replicated study

  2017cites this paper
• Does Python Smell Like Java? Tool Support for Design Defect Discovery in Python

  2017cites this paper
• Recommending when Design Technical Debt Should be Self-Admitted

  2017cites this paper
• Do developers care about code smells? A replicated study from chile

  2017cites this paper
• A Systematic Literature Review: Code Bad Smells in Java Source Code

  2017cites this paper
• Detecting Technical Debt through Issue Trackers

  2017cites this paper
• A perspective approach for refactoring framework using monitor based approach

  2017cites this paper
• FindSmells: Flexible Composition of Bad Smell Detection Strategies

  2017cites this paper
• A systematic literature review: Refactoring for disclosing code smells in object oriented software

  2017cites this paper
• Directed test generation and analysis for web applications

  2017cites this paper
• Does Refactoring of Test Smells Induce Fixing Flaky Tests?

  2017cites this paper
• On the use of developers' context for automatic refactoring of software anti-patterns

  2017cites this paper
• Smells Are Sensitive to Developers! On the Efficiency of (Un)Guided Customized Detection

  2017cites this paper
• On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

  2017cites this paper
• When and Why Your Code Starts to Smell Bad

  2017cites this paper
• Automatic multiprogramming bad smell detection with refactoring

  2017cites this paper
• Continuous quality assessment with inCode

  2017cites this paper
• A literature study of architectural erosion and comparison to an industrial case in Danfoss . Group : Alpha

  2017cites this paper
• A genetic algorithm-based approach for automated refactoring of component-based software

  2017cites this paper
• Finding Extract Method Refactoring Opportunities by Analyzing Development History

  2017cites this paper
• Implementation of techniques and OWASP security recommendations to avoid SQL and XSS attacks using J2EE and WS-Security

  2017influential citation
• Reducing redundancies in multi-revision code analysis

  2017cites this paper
• Customizable automatic detection of bad usability smells in mobile accessed web applications

  2017cites this paper
• Titre : Title : Defining linguistic antipatterns towards the improvement of source code quality Auteurs :

  2017cites this paper
• An empirical study to improve software security through the application of code refactoring

  2017cites this paper
• The detection of code smell on software development: a mapping study

  2017cites this paper
• Recommendations for Intelligent Code Reorganization

  2016cites this paper
• Continuous detection of design flaws in evolving object-oriented programs using incremental multi-pattern matching

  2016cites this paper
• Using (Bio)Metrics to Predict Code Quality Online

  2016cites this paper
• UNDERSTANDING THE EVOLUTION OF CODE SMELLS BY OBSERVING SMELL CLUSTERS AHMAD

  2016cites this paper
• Multi-objective code-smells detection using good and bad design examples

  2016cites this paper
• Less is more: Minimizing code reorganization using XTREE

  2016cites this paper
• A benchmark-based method to derive metric thresholds

  2016influential citation
• Detecting Code Smells in Python Programs

  2016cites this paper
• Implementation of Techniques, Standards and Safety Recommendations to Prevent XSS and SQL Injection Attacks in Java EE RESTful Applications

  2016cites this paper
• Domino Effect: Move More Methods Once a Method is Moved

  2016cites this paper
• An empirical investigation into the nature of test smells

  2016cites this paper