Software defect-based prediction using logistic regression: Review and challenges
J Goyal, R Ranjan Sinha - Second International Conference on …, 2022 - Springer
Software analysis and prediction system development is the significant and much-needed
field of software testing in software engineering. The automatic software predictors analyze …
field of software testing in software engineering. The automatic software predictors analyze …
A decision tree logic based recommendation system to select software fault prediction techniques
SS Rathore, S Kumar - Computing, 2017 - Springer
Identifying a reliable fault prediction technique is the key requirement for building effective
fault prediction model. It has been found that the performance of fault prediction techniques …
fault prediction model. It has been found that the performance of fault prediction techniques …
[HTML][HTML] A fuzzy logic expert system to predict module fault proneness using unlabeled data
Several techniques have been proposed to predict the fault proneness of software modules
in the absence of fault data. However, the application of these techniques requires an expert …
in the absence of fault data. However, the application of these techniques requires an expert …
[PDF][PDF] Detecting fraudulent claims in automobile insurance policies by data mining techniques
T Simmachan, W Manopa, P Neamhom… - Thailand …, 2023 - researchgate.net
The insurance industry is a fast-growing industry and handles substantial amounts of data.
Fraudulent claims are the main problem in the industry. Auto insurance fraud is one of the …
Fraudulent claims are the main problem in the industry. Auto insurance fraud is one of the …
Islanding detection method based on system identification
S Liu, Y Li, J Xiang, F Ji - IET Power electronics, 2016 - Wiley Online Library
Islanding detection is a crucial technique for distributed generation (DG) system. An
islanding detection method based on system identification is proposed in this study …
islanding detection method based on system identification is proposed in this study …
Software dependability analysis under neutrosophic environment using optimized Elman recurrent neural network-based classification algorithm and Mahalanobis …
S Chatterjee, D Saha - Annals of Operations Research, 2024 - Springer
Dependability of software systems is one of the challenging issues for software developers.
Main software dependability issues include reliability, security, performability, availability …
Main software dependability issues include reliability, security, performability, availability …
[PDF][PDF] Stability of software defect prediction in relation to levels of data imbalance
Software defect prediction is an important decision support activity in software quality
assurance. Its goal is reducing verification costs by predicting the system modules that are …
assurance. Its goal is reducing verification costs by predicting the system modules that are …
Feature selection and prediction of small-for-gestational-age infants
The small-for-gestational-age (SGA) condition often causes serious problems. Therefore,
identifying the risk factors for SGA is important. Traditional statistical methods such as …
identifying the risk factors for SGA is important. Traditional statistical methods such as …
Murdering the person closest to you: Similarities and differences between intimate partner sexual homicide and non‐intimate partner sexual homicide
M Czarnietzki, S Ricono‐Kaufhold… - … Sciences & the Law, 2024 - Wiley Online Library
Sexual homicides (SHs) demand nuanced research for effective prevention, treatment, risk
assessment and theoretical insights. Intimate‐partner sexual homicides (IPSHs), comprising …
assessment and theoretical insights. Intimate‐partner sexual homicides (IPSHs), comprising …
Zoning-based localization in indoor sensor networks using belief functions theory
D AlShamaa, F Mourad-Chehade… - 2016 IEEE 17th …, 2016 - ieeexplore.ieee.org
Localization is an essential issue in wireless sensor networks to process the information
retrieved by sensor nodes. This paper presents an indoor zoning-based localization …
retrieved by sensor nodes. This paper presents an indoor zoning-based localization …