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80 results for “quality metrics”
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Research ArticleOpen accessPhrase in the titleEnhanced Ensemble Prediction Algorithms for Detecting Faulty Modules in Object Oriented Systems Using Quality MetricsM. Punithavalli, C. NeelamegamThe high usage of software system poses high quality demand from users, which results in increased software complexity. To address these complexities, software quality engineering methods should be updated accordingly and enhance their quality assuring methods. Fault prediction, a sub-task of SQE, is designed to solve this issue and provide a strategy to identify faulty parts of a program, so … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,435 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Swarm-based Distance Vector Routing to Support Multiple Quality of Service (QoS) Metrics in Mobile Adhoc NetworksR. Asokan, A. M. Natarajan, A. NivethaQuality of Service support for Mobile Ad-hoc Networks is a challenging task due to dynamic topology and limited resource. The main purpose of QoS routing is to find a feasible path that has sufficient resources to satisfy the constraints. A fundamental problem in QoS routing is to find a path between a source and destination that satisfies two or more … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,665 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Study of the Quality Assessment Tools Based on a Model: Sonar, Squale, EvalMetricsZineb Bougroun, Adil Zeearaoui, Toumi BouchentoufTo build software, the customer is looking for a company that develops the product in record time with minimal cost and good quality. To measure the productivity and the software quality, several indicators and metrics have emerged, which have been the subject of various research fields and which are highly demanded by enterprises and software development teams. In order to … …Journal of Computer Science, Vol. 12, Issue 1 · 11 Mar 2016 · 6,986 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEMPIRICAL COMPARISON OF TWO METRICS SUITES FOR MAINTAINABILITY PREDICTION IN PACKAGES OF OBJECT-ORIENTED SYSTEMS: A CASE STUDY OF OPEN SOURCE SOFTWAREK.G. MadhwarajSoftware maintainability has been an important external quality attribute that concerns both styles of software development, the proprietary model as well as open source. As lots of open source software are predominantly built using the OO paradigm, there exists a need for empirical validation with respect to certain quality aspects especially maintainability. There are a few studies in the past … …Journal of Computer Science, Vol. 10, Issue 11 · 10 Dec 2014 · 8,213 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Empirical Validation of Object-Oriented Design Metrics for Fault PredictionJie Xu, Danny Ho, Luiz F. CapretzProblem Statement: Object-oriented design has become a dominant method in software industry and many design metrics of object-oriented programs have been proposed for quality prediction, but there is no well-accepted statement on how significant those metrics are. In this study, empirical analysis is carried out to validate object-oriented design metrics for defects estimation. Approach: The Chidamber and Kemerer metrics suite … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,988 accessesView PDFCite
Research ArticleOpen accessIn the keywordsQuality Metric Development Framework (qMDF)K. Mustafa, R. A. KhanSeveral object-oriented metrics have been developed and used in conjunction with the quality models to predict the overall quality of software. However, it may not be enough to propose metrics. The fundamental question may be of their validity, utility and reliability. It may be much significant to be sure that these metrics are really useful and for that their construct … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,379 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA High Secure and Robust Image Steganography Using Dual Wavelet and Blending ModelR. Bhavani, Prabakaran GanesanSteganography is an ability of concealing information inside the cover in such a way it looks like simple cover though it has concealed information. There are many techniques to carry out steganography on electronic media, most especially audio and image files. In this method, we proposed a high secure steganography scheme hiding a 256×256 size gray secret image into a … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,429 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Particle Swarm Optimization Based Edge Preserving Impulse Noise FilterS. Mohamed Mansoor Roomi, P.L. Muthu Karuppi, P. Rajesh, B. Guru RevathiProblem statement: Image sensors and communication channels often introduce impulse noise in image transmission. The most common filters available to remove such noise are median filter and its variants but the major drawbacks identified with them are blurring of edge detail and low noise suppression. To preserve the sharp and useful information in the image, the filtering algorithms are required … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite