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38 articles for “Regression Testing”

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Research ArticleOpen accessPhrase in the titleGreedy Algorithm Implementation for Test Case Prioritization in the Regression Testing PhaseAkira Wahyu Putra, Nilo LegowoThis study examines the implementation of Test Case Prioritization (TCP) using the Greedy Algorithm (GA) to enhance regression testing efficiency within a financial technology company's software development cycle. With testing durations increasing significantly, this study aims to address inefficiencies by applying the Greedy Algorithm to optimize test suite size and fault detection. The research methodology involves applying the Greedy Algorithm … …Journal of Computer Science, Vol. 21, Issue 2 · 9 Jan 2025 · 7,558 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEffective Test Case Selection and Prioritization in Regression TestingAlbert Pravin, Subramaniam SrinivasanRegression testing is used to ensure the validity of the changed software. Due to time budget and entire test suite could not be executed. Hence it becomes an essential to minimize the test suite and choose a subset of test cases from test suite which will be executed in least time and has the capability to cover all the faults. … …Journal of Computer Science, Vol. 9, Issue 5 · 28 May 2013 · 7,140 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA NOVEL PRIORITIZATION ALGORITHM MODEL BASED TEST-SUITE GENERATION USING REGRESSION TESTINGPrabhu Jayagopal, Dr. Malmurugan NagarajanThe fully automatic Graphical User Interface tool for any application using novel model based test suite generation techniques for a GUI. They are unable to control response time and time intervals are based on relationship between GUI events handlers and test cases with their responsibilities. We present a novel prioritization algorithm that enhances event handlers for the automated GUI tool. … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,628 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NOVEL APPROACH FOR TEST SUITE PRIORITIZATIONThangavel Prem Jacob, Thavasi Anandam RaviSoftware testing is an expensive, time consuming, important activity that controls the quality of the software and important part of the software development and the maintenance. In testing the time is spent mainly for generating test cases and to test them. Whenever the software product gets modified, a group of the test cases has to be re-executed and the new … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,908 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOPTIMIZATION OF TEST CASES BY PRIORITIZATIONT. Prem Jacob, T. RaviRegression testing is testing the software in order to make sure that the modification made on the program lines does not affect the other parts of the software, it is in maintenance phase and accounts for 80% of the maintenance cost and thus optimizing regression testing is one of the prime motives of software testers. Here we take the advantage … …Journal of Computer Science, Vol. 9, Issue 8 · 4 Jul 2013 · 7,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractParticle Size Determination in Rice Bran Testing with Various Levels of Rice Husks Using Ultrasonic WavesUrip Rosani, Iman Hernaman, Rahmat Hidayat, Darmawan HidayatThe principle of ultrasonic waves in detecting materials is based on their physical properties. The size of particles has an impact on various aspects of their composition and function. The limited information that reports the particle size of RH-contaminated RB samples tested using ultrasonic waves is the basis for this study. This study aims to determine the optimal sample particle … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 6 Nov 2024 · 4,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Interferon-Gamma Release Assay Results for Latent Tuberculosis Infection Diagnosis at a Referral Clinical Laboratory in South KoreaTae Soung Kim, Ga Yeon Kim, Young Ki Lee, Jae Kyung KimThe world health organization states that individuals with Latent Tuberculosis Infection (LTBI) are infected with Tuberculosis (TB) bacteria but do not show symptoms of active disease. However, they are at possibility of developing vigorous TB and potentially transmitting the illness to others. In 2018, South Korea reported a 14.8% positivity rate in LTBI screening, with higher rates observed among older … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Oct 2023 · 6,033 accessesView PDFCite
Research ArticleOpen accessIn the abstractCardiovascular Disease Prediction using Various Machine Learning AlgorithmsDebabrata Swain, Badal Parmar, Hansal Shah et al.Almostone-third of all deaths caused around the world were caused due tocardiovascular diseases. Even if death was not the result, much cost isincurred during the treatment of such diseases. But much of these deaths andtreatments could have been prevented with prior action. Advance knowledge ofthe symptoms and consequently proper care can lead us to avoid such diseases.Thus, current research proposes … …Journal of Computer Science, Vol. 18, Issue 10 · 13 Oct 2022 · 9,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDFCite