GCC-Git Change Classifier for Extraction and Classification of Changes in Software Systems

Kaur, Amandeep; Chopra, Deepti

doi:10.1007/978-981-10-5523-2_24

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…Data required for computation of HCM and ECM was extracted from Mozilla Central and GitHub using a programmed tool [ 35 ]. The commits of each file in a subsystem were extracted using regular expression matching [ 36 ].…”

Section: Methodsmentioning

confidence: 99%

Entropy Churn Metrics for Fault Prediction in Software Systems

Kaur

Chopra

2018

Entropy

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Fault prediction is an important research area that aids software development and the maintenance process. It is a field that has been continuously improving its approaches in order to reduce the fault resolution time and effort. With an aim to contribute towards building new approaches for fault prediction, this paper proposes Entropy Churn Metrics (ECM) based on History Complexity Metrics (HCM) and Churn of Source Code Metrics (CHU). The study also compares performance of ECM with that of HCM. The performance of both these metrics is compared for 14 subsystems of 5different software projects: Android, Eclipse, Apache Http Server, Eclipse C/C++ Development Tooling (CDT), and Mozilla Firefox. The study also analyses the software subsystems on three parameters: (i) distribution of faults, (ii) subsystem size, and (iii) programming language, to determine which characteristics of software systems make HCM or ECM more preferred over others.

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Section: Methodsmentioning

confidence: 99%

Entropy Churn Metrics for Fault Prediction in Software Systems

Kaur

Chopra

2018

Entropy

Self Cite

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“…Various challenges and confusion in learning version control with Git have been reported in Li et al [15], followed by recommendations for dealing the same. General concepts of centralized and distributed VCS have been discussed in Tanwar et al [16][17][18][19][20] and how these concepts are implemented by Subversion and Git VCS.…”

Section: Related Workmentioning

confidence: 99%

A Holistic, Proactive and Novel Approach for Pre, During and Post Migration Validation from Subversion to Git

Singh¹,

Alshheri²,

Aggarwal³

et al. 2021

Computers, Materials &Amp; Continua

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“…Over the past couple of years, multiple tools and techniques are introduced to study software evolution by commit‐level . Some of them do not run analysis on source code .…”

Section: Squaad Toolsetmentioning

confidence: 99%

Anticipatory development processes for reducing total ownership costs and schedules

Boehm

Behnamghader

2019

Systems Engineering

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Many systems and software processes overfocus on getting a project and product from an initial set of requirements to an Initial Operational Capability (IOC). Examples are most waterfall and V models. Projects following such processes may pass acceptance tests for functionality and performance, but may leave the product with serious maintainability shortfalls. Many agile processes focus on users' initial usage priorities, but often make development commitments for earlier needs that are incompatible with achieving later critical needs (eg, security, safety). Incremental development process models can do better, but often later increments may find that the earlier increments have not prepared them for ease of modification and repair. Besides increasing Total Ownership Costs (TOCs), long mean times to repair result in long downtimes, which can be critical to an organization's income and reputation. Furthermore, many of these shortfalls take the form of Technical Debt (TD), in that the later they are fixed, the more slow and expensive will be the fixes. This paper summarizes three process frameworks and tools providing more anticipatory ways to improve systems and software maintainability and life‐cycle cost‐effectiveness. The first framework is an Opportunity Tree for identifying and anticipating such ways. The second framework, Software Quality Understanding by Analysis of Abundant Data (SQUAAD), is a toolset for tracking a software project's incremental code commits, and analyzing and visualizing each commit's incremental and cumulative TD. The third framework is a Software/Systems Maintenance Readiness Framework (SMRF), that identifies needed maintenance readiness levels at development decision reviews, similar to the Technology Readiness Levels (TRLs) framework.

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GCC-Git Change Classifier for Extraction and Classification of Changes in Software Systems

Cited by 8 publications

References 9 publications

Entropy Churn Metrics for Fault Prediction in Software Systems

Entropy Churn Metrics for Fault Prediction in Software Systems

A Holistic, Proactive and Novel Approach for Pre, During and Post Migration Validation from Subversion to Git

Anticipatory development processes for reducing total ownership costs and schedules

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