Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org
"Cyclomatic Complexity and Lines of Code: Empirical Evidence of a Stable Linear Relationship"
written by Graylin JAY, Joanne E. HALE, Randy K. SMITH, David HALE, Nicholas A. KRAFT, Charles WARD,
published by Journal of Software Engineering and Applications, Vol.2 No.3, 2009
has been cited by the following article(s):
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[3] Toward Automated Vehicle Teleoperation: Vision, Opportunities, and Challenges
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[5] REDUCING STRUCTURAL AMBIGUITY IN NATURAL LANGUAGE SOFTWARE REQUIREMENTS SPECIFICATIONS
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[6] An Empirical Study Investigating the Predictors of Software Metric Correlation in Application Code and Test Code.
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[7] A Tool-Based Perspective on Software Code Maintainability Metrics: A Systematic Literature Review
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[8] Development of an Enhanced Automated Software Complexity Measurement System
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[9] Toward Data-Driven Discovery of Software Vulnerabilities
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[10] Learning to Catch Security Patches
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[11] VComputeLib: Enabling Cross-Platform GPGPU on Mobile and Embedded GPUs
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[12] Manutenibilità del codice sorgente scritto in Rust
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[13] New Metrics for Predicting the Reliability of Individual Component Based on Software Design Metrics
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[14] Software Reliability: A Must
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[15] Comparing the Performance of String Operations Across Programming Languages
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[16] Hybrid Technique for Complexity Analysis for Java Code
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[17] Effects of measurements on correlations of software code metrics
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[18] Investigating Evolution in Open Source Software
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[19] Team Topologies: Organizing Business and Technology Teams for Fast Flow
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[20] A User Feedback Centric Approach for Detecting and Mitigating God Class Code Smell Using Frequent Usage Patterns
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[21] Large-Scale Empirical Study of Important Features Indicative of Discovered Vulnerabilities to Assess Application Security
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[22] PRIKUPLJANJE I PRIKAZ PODATAKA O IZVRŠAVANJU PROGRAMA
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[23] Examining Software Design Projects in a First-Year Engineering Course:: The Impact of the Project Type on Programming Complexity and Programming
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[24] Designing ANFIS Model to Predict the Reliability of Component-Based System
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[25] A Decision Tree Approach to Identify the Factors Affecting Reliability for Component-Based System
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[26] Using code quality features to predict bugs in procedural software systems
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[27] Prevalence of confusing code in software projects: atoms of confusion in the wild
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[28] Code Complexity Management for Practitioners
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[29] PERFORMANCE EVALUATION OF IMPROVED COGNITIVE COMPLEXITY METRIC AND OTHER CODE BASED COMPLEXITY METRICS
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[30] Prevalence of Confusing Code in Sotware Projects
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[31] An Empirical Comparison between API Tutorials and API Crowd Documentation
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[32] Code smells for Model-View-Controller architectures
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[33] Proactive Software Complexity Assessment
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[34] Evaluating code complexity triggers, use of complexity measures and the influence of code complexity on maintenance time
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[35] An Empirical Study on the Effect of Testing on Code Quality using Topic Models: A Case Study on Software Development Systems
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[36] On the Effectiveness of Bug Predictors with Procedural Systems: A Quantitative Study
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[37] An Assessment Framework of Routing Complexities using LOC Metrics
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[38] Comparison of IDE extracted effort versus static metrics for assessing software maintainability
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[39] Network Security Metrics: Estimating the Resilience of Networks Against Zero Day Attacks
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[40] Agents are More Complex than Other Software: An Empirical Investigation
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[41] Correlations of software code metrics: an empirical study
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[43] Qualitative and Quantitative Assessment of Integration Testing for Model-Based Software in the Automotive Industry
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[44] Transaction-Aware Aspects with TransJ: An Initial Empirical Study to Demonstrate Improvement in Reusability
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[45] Software Complexity Prediction by Using Basic Attributes
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[46] Topic-based software defect explanation
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[47] Validating software measures using action research a method and industrial experiences
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[48] The European Atlas of Forest Tree Species: modelling, data and information on forest tree species
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[49] Unveiling anomalies and their impact on software quality in model-based automotive software revisions with software metrics and domain experts
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[50] Validating Software Measures Using Action Research
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[51] Comparing strategies to construct local disaster recovery networks
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[52] An Accumulated Cognitive Approach to Measure Software Complexity
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[53] Análise de complexidade de programas em ferramentas de apoio à decisão
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[54] Evaluating and Mitigating the Impact of Complexity in Software Models
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[57] Using C Language Extensions for Developing Embedded Software: A Case Study
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[58] VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits
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[59] Towards Improving Software Security using Language Engineering and mbeddr C
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[60] Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods and C functions
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[61] Evaluating the authoring complexity of interactive narratives with interactive behaviour trees
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[62] FAA RESEARCH PROJECT ON SYSTEM COMPLEXITY EFFECTS ON AIRCRAFT SAFETY: CANDIDATE COMPLEXITY METRICS
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[63] Automated analysis of software artefacts-a use case in e-assessment
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[64] Software Development Method for Improving Maintainability Using Code Generation
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[65] Polymorphism in the Spotlight: How Developers Use it in Practice.
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[66] Identifying Risky Areas of Software Code in Agile/Lean Software Development: A Method and its Industrial Evaluation
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[67] A COMPARATIVE STUDY OF SOFTWARE COMPLEXITY METRIC
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[68] Automação da análise de qualidade de código
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[69] Identifying risky areas of software code in Agile/Lean software development: An industrial experience report
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[70] Empowering Technical Risk Assessment in Software Development
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[71] A survey on impact of lines of code on software complexity
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[72] Meteor framework, a new approach to webdevelopment: an experimental analysis
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[73] Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods
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[74] A framework for improving the concept of Cyclomatic complexity in object-oriented programming
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[75] Improving Software Security using Language Engineering and mbeddr C
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[76] The relationship between CC and SLOC: a preliminary analysis on its evolution
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[77] The Modularity of the Resource Utilization Model in Python
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[78] Monitoring Evolution of Code Complexity in Agile/Lean Software Development
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[79] Factors Affecting the Design and Use of Reusable Components
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[80] An empirical evaluation of mutation testing for improving the test quality of safety-critical software
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[82] Supporting Concurrency Abstractions in High-level Language Virtual Machines
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