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Analysis of Software Deformity Prone Datasets with Use of AttributeSelectedClassifier

Maaz Rasheed Malik, Liu Yining, Salahuddin Shaikh
2019 International Journal of Advanced Computer Science and Applications  
Software Deformity Prone datasets models are interesting research direction in the era of software world.  ...  In this research study, the interest class of software deformity prone is defective model datasets. There are different techniques to predict the deformity prone datasets model.  ...  In overall experimental analysis, from Fig. 3 to 6, we illustrated that CFSSubsetEval and GainRatio performance is better in almost classifiers.  ... 
doi:10.14569/ijacsa.2019.0100703 fatcat:mu5n66uczngcljjrbekwoxjb7y

Analysis of Ensemble Models for Aging Related Bug Prediction in Software Systems

Shubham Sharma, Sandeep Kumar
2018 Proceedings of the 13th International Conference on Software Technologies  
The experimental study has been performed on the LINUX and MYSQL bug datasets collected from Software Aging and Rejuvenation Repository.  ...  A comparative analysis of different ensemble techniques, bagging, boosting and stacking have been presented with their comparison with the base learning techniques which has not been explored in the prediction  ...  ACKNOWLEDGEMENTS This publication is part of the R&D work undertaken in the project under the Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology, Government of India, being implemented  ... 
doi:10.5220/0006847702900297 dblp:conf/icsoft/SharmaK18 fatcat:hox34vhytzgwfoe565l742pb7m

A Novel Multiple Ensemble Learning Models Based on Different Datasets for Software Defect Prediction [article]

Ali Nawaz, Attique Ur Rehman, Muhammad Abbas
2020 arXiv   pre-print
Particularly, we proposed an ensemble learning models and perform comparative analysis among KNN, Decision tree, SVM and Na\"ive Bayes on different datasets and it is demonstrated that performance of Ensemble  ...  Effective and efficient software testing utilizes the minimum resources of software.  ...  [15] performed an analysis of prominent machine learning i.e ANN, PSO (Particle Swarm Optimization), DT, NB and LC (Linear classifier) and evaluated on seven PROMISE [16] datasets.  ... 
arXiv:2008.13114v1 fatcat:boi5w4h5cjg3bmp6wnqf4qjjaq

An Initiative to Improve Reproducibility and Empirical Evaluation of Software Testing Techniques

Francisco G. de Oliveira Neto, Richard Torkar, Patricia D. L. Machado
2015 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering  
This paper discusses those issues specific for evaluation of software testing techniques and proposes an initiative for a collaborative effort to encourage reproducibility of experiments evaluating software  ...  The current concern regarding quality of evaluation performed in existing studies reveals the need for methods and tools to assist in the definition and execution of empirical studies and experiments.  ...  Ultimately, we would also be able to perform meta-analysis, focusing on, for instance effect size [12] to discern the total effect a number of test techniques have on a particular domain, e.g. model-based  ... 
doi:10.1109/icse.2015.197 dblp:conf/icse/NetoTM15 fatcat:2ja6h4e73zeypgo74zkoxzbbhm

Software Change Management: a Quantified Perspective

Ankit Dhamija, Sunil Sikka
2018 International Journal of Engineering & Technology  
Software metrics play an important role to evaluate CIA process. Two types of metrics are used to evaluate CIA.  ...  First types of metrics are the standard metrics used to evaluate the performance of CIA techniques for example Precision, Recall, F-measure etc. These are most commonly used by researchers.  ...  Three case studies were used to perform the experimental evaluation of the technique of diverse sizes and domains.  ... 
doi:10.14419/ijet.v7i3.12.17613 fatcat:g23l7qrmafgeddyup5kg6c4ptq

Development Tools and Techniques for Mobile Telecommunications

John R. Heath, Olivier Dalle
2009 Journal on spesial topics in mobile networks and applications  
An ns-2 simulation software module implementing the scheme is described, and ns-2 simulations are used to validate the scheme and evaluate its performance.  ...  Application of the guidelines are demonstrated with a simulation model, using OMNet++, and performance evaluation of a specific ad hoc routing network protocol, DYMO.  ...  Prior to joining Sun, his research focused on performance modeling and analysis of storage networks and subsystems. This work was conducted in collaboration with Digital Equipment Corporation.  ... 
doi:10.1007/s11036-009-0218-x fatcat:3iosngxdqrhjdbf27fa5pwrk3e

The past, present, and future of experimental software engineering

Victor Robert Basili
2006 Journal of the Brazilian Computer Society  
This paper gives a 40 year overview of the evolution of experimental software engineering, from the past to the future, from a personal perspective.  ...  I use my own experiences and thoughts as a barometer of how the field has changed and present some opinions about where we need to go.  ...  Members of the team are too numerous to mention and have varied over time.  ... 
doi:10.1590/s0104-65002006000400002 fatcat:nyxfvfs7rbgelc7gvpe6qa35za

The past, present, and future of experimental software engineering

Victor Robert Basili
2006 Journal of the Brazilian Computer Society  
This paper gives a 40 year overview of the evolution of experimental software engineering, from the past to the future, from a personal perspective.  ...  I use my own experiences and thoughts as a barometer of how the field has changed and present some opinions about where we need to go.  ...  Members of the team are too numerous to mention and have varied over time.  ... 
doi:10.1007/bf03194492 fatcat:ow4fzvu26rbmjm2djejvg5z7xu

A review on automatic extraction and classification of non-functional requirements

Rahmat Ullah Khan, M. N. A. Khan
2017 International Journal of Advanced and Applied Sciences  
NFRs are often misunderstood and ignored due to which certain important aspect of the software such as robustness availability usability performance and security are compromised.  ...  The critical analysis tables are provided in this study to highlight the significance of NFRs extraction and classification technique.  ...  Mahmoud and Niu (2015) performed an experimental analysis to evaluate the performance of different semantic Information Retrieval (IR) methods for automated requirement tracing and investigate the potential  ... 
doi:10.21833/ijaas.2017.06.005 fatcat:g7xguri32nbifdgbnaznu7xeym

Integrated Traceability Approach for an Effective Impact Analysis

Lubna Gul, Salma Imtiaz, Salman Munir, Majid Munir, Muhammad Ajmal Khan
2021 Mehran University Research Journal of Engineering and Technology  
We have performed a detailed literature survey of traceability techniques from the year 2008-2018.  ...  We have presented a hybrid approach that combines four traceability techniques to achieve the entire criteria for an effective impact analysis after careful evaluation.  ...  An evaluation of these techniques is performed to determine their usefulness for effective impact analysis [6, 8] till 2008.  ... 
doi:10.22581/muet1982.2102.09 fatcat:r7ig7ahly5dtrle34c7mldd6ke

Comparative Analysis of Selected Heterogeneous Classifiers for Software Defects Prediction Using Filter-Based Feature Selection Methods

Abimbola G Akintola, Abdullateef Balogun, Fatimah B Lafenwa-Balogun, Hameed A Mojeed
2018 FUOYE Journal of Engineering and Technology  
The topmost discriminatory attributes of the dataset were evaluated using Principal Component Analysis (PCA), CFS and FilterSubsetEval.  ...  prone (NFP) by means of a classification model.  ...  The main objective of this study is to evaluate the effect of filter feature selection techniques on the performance of heterogeneous classifiers in software defect prediction.  ... 
doi:10.46792/fuoyejet.v3i1.178 fatcat:m4cjd63o4jhtjhsbhxd57b5bge

Stochastic Embedded Probit Regressive Reweight Boost Classifier for Software Quality Examination

2019 International journal of recent technology and engineering  
Experimental analysis is performed with various metrics namely accuracy, FPR and computation time (CT) with number of program files.  ...  Experimental results evident that the SGNE-PRRBC technique achieves better performance in terms of accuracy, CT and FPR as compared to the conventional methods.  ...  EXPERIMENTAL SETUP AND PARAMETER SETTINGS Experimental analysis of SGNE-PRRBC technique and existing methods Fuzzy-filtered neuro-fuzzy framework [1] and HyGRAR [2] is performed in JAVA programming  ... 
doi:10.35940/ijrte.c1040.1183s319 fatcat:liqdj52u2zb4zgpxsmokxkhuxa

Cross Project Software Defect Prediction using Extreme Learning Machine: An Ensemble based Study

Pravas Ranjan Bal
2018 Proceedings of the 13th International Conference on Software Technologies  
From experimental results and analysis, it is observed that the presented nonlinear heterogeneous ensemble model provides better prediction accuracy as compared to other single defect prediction models  ...  However, it is observed that the performance of these defect prediction models degrade on different datasets. The completeness of these models are very poor.  ...  This publication is an outcome of the R&D work undertaken in the project under the Visvesvaraya PhD Scheme of Ministry of Electronics and Information Technology, Government of India, being implemented  ... 
doi:10.5220/0006886503540361 dblp:conf/icsoft/BalK18a fatcat:udb7preonzbwrbzek3veshe6mi

oDyRM: Optimized Dynamic Reusability Model for Enhanced Software Consistency

R. Selvarani, P. Mangayarkarasi
2017 International Journal of Advanced Computer Science and Applications  
The prior model DyRM has introduced a technique to perform modeling of design reusability under three real-time constraints.  ...  The paper discusses the underlying technique elaborately and presents the outcome that shows a good curve fits between experimental and predicted data.  ...  Fig. 3 . 3 Performance of oDyRM Fig. 4. Regression Analysis of Proposed eDyRM Fig.3 highlights the regression analysis performed on proposed eDyRM model.  ... 
doi:10.14569/ijacsa.2017.080322 fatcat:sm2wan4etbgdjhny3qk2n5xehq

Organizational Testing Management Maturity Model for a Software Product Line

Etiene Lamas, Érica Ferreira, Marcos Ribeiro do Nascimento, Luiz Alberto Vieira Dias, Fabio Fagundes Silveira
2010 2010 Seventh International Conference on Information Technology: New Generations  
The proposed framework is a set of structures to support the development and testing of Software Product Lines. This set follows the Experimental Software Engineering concepts.  ...  OTM3 is a framework for interactive, incremental, and continuous models.  ...  In this experimental study the main objective was: "What is the effect of the software testing techniques in a SPL strategy on product reliability and stability, given an environment of expert programmers  ... 
doi:10.1109/itng.2010.134 dblp:conf/itng/LamasFNDS10 fatcat:6sb5ahqigfhidbtqemxzpijejy
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