Search Results - "Information and software technology"

Guidelines for including grey literature and conducting multivocal literature reviews in software engineering by Garousi, Vahid, Felderer, Michael, Mäntylä, Mika V.

“…A Multivocal Literature Review (MLR) is a form of a Systematic Literature Review (SLR) which includes the grey literature (e.g., blog posts, videos and white…”
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Predictive maintenance using digital twins: A systematic literature review by van Dinter, Raymon, Tekinerdogan, Bedir, Catal, Cagatay

“…•The first SLR in predictive maintenance using Digital Twins.•42 primary studies were analyzed.•Key questions for designing a predictive maintance model were…”
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Guidelines for conducting systematic mapping studies in software engineering: An update by Petersen, Kai, Vakkalanka, Sairam, Kuzniarz, Ludwik

“…Systematic mapping studies are used to structure a research area, while systematic reviews are focused on gathering and synthesizing evidence. The most recent…”
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Automation of systematic literature reviews: A systematic literature review by van Dinter, Raymon, Tekinerdogan, Bedir, Catal, Cagatay

“…Systematic Literature Review (SLR) studies aim to identify relevant primary papers, extract the required data, analyze, and synthesize results to gain further…”
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A systematic review of unsupervised learning techniques for software defect prediction by Li, Ning, Shepperd, Martin, Guo, Yuchen

“…Unsupervised machine learners have been increasingly applied to software defect prediction. It is an approach that may be valuable for software practitioners…”
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Static analysis of android apps: A systematic literature review by Li, Li, Bissyandé, Tegawendé F., Papadakis, Mike, Rasthofer, Siegfried, Bartel, Alexandre, Octeau, Damien, Klein, Jacques, Traon, Le

“…Static analysis exploits techniques that parse program source code or bytecode, often traversing program paths to check some program properties. Static…”
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Identifying, categorizing and mitigating threats to validity in software engineering secondary studies by Ampatzoglou, Apostolos, Bibi, Stamatia, Avgeriou, Paris, Verbeek, Marijn, Chatzigeorgiou, Alexander

“…Secondary studies are vulnerable to threats to validity. Although, mitigating these threats is crucial for the credibility of these studies, we currently lack…”
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Successful combination of database search and snowballing for identification of primary studies in systematic literature studies by Wohlin, Claes, Kalinowski, Marcos, Romero Felizardo, Katia, Mendes, Emilia

“…A good search strategy is essential for a successful systematic literature study. Historically, database searches have been the norm, which was later…”
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BGNN4VD: Constructing Bidirectional Graph Neural-Network for Vulnerability Detection by Cao, Sicong, Sun, Xiaobing, Bo, Lili, Wei, Ying, Li, Bin

“…Previous studies have shown that existing deep learning-based approaches can significantly improve the performance of vulnerability detection. They represent…”
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A systematic review of systematic review process research in software engineering by Kitchenham, Barbara, Brereton, Pearl

“…Many researchers adopting systematic reviews (SRs) have also published papers discussing problems with the SR methodology and suggestions for improving it…”
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What is wrong with topic modeling? And how to fix it using search-based software engineering by Agrawal, Amritanshu, Fu, Wei, Menzies, Tim

“…Topic modeling finds human-readable structures in unstructured textual data. A widely used topic modeling technique is Latent Dirichlet allocation. When…”
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Machine learning techniques for code smell detection: A systematic literature review and meta-analysis by Azeem, Muhammad Ilyas, Palomba, Fabio, Shi, Lin, Wang, Qing

“…Background: Code smells indicate suboptimal design or implementation choices in the source code that often lead it to be more change- and fault-prone…”
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Test case prioritization approaches in regression testing: A systematic literature review by Khatibsyarbini, Muhammad, Isa, Mohd Adham, Jawawi, Dayang N.A., Tumeng, Rooster

“…Software quality can be assured by going through software testing process. However, software testing phase is an expensive process as it consumes a longer…”
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How to design gamification? A method for engineering gamified software by Morschheuser, Benedikt, Hassan, Lobna, Werder, Karl, Hamari, Juho

“…•A method for engineering gamified software is presented. It was developed via:1.Systematic review of past literature and methods to identify design…”
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Tuning for software analytics: Is it really necessary? by Fu, Wei, Menzies, Tim, Shen, Xipeng

“…Context: Data miners have been widely used in software engineering to, say, generate defect predictors from static code measures. Such static code defect…”
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DevOps in practice: A multiple case study of five companies by Lwakatare, Lucy Ellen, Kilamo, Terhi, Karvonen, Teemu, Sauvola, Tanja, Heikkilä, Ville, Itkonen, Juha, Kuvaja, Pasi, Mikkonen, Tommi, Oivo, Markku, Lassenius, Casper

“…Context: DevOps is considered important in the ability to frequently and reliably update a system in operational state. DevOps presumes cross-functional…”
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Identification and management of technical debt: A systematic mapping study by Alves, Nicolli S.R., Mendes, Thiago S., de Mendonça, Manoel G., Spínola, Rodrigo O., Shull, Forrest, Seaman, Carolyn

“…The technical debt metaphor describes the effect of immature artifacts on software maintenance that bring a short-term benefit to the project in terms of…”
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Software defect prediction based on kernel PCA and weighted extreme learning machine by Xu, Zhou, Liu, Jin, Luo, Xiapu, Yang, Zijiang, Zhang, Yifeng, Yuan, Peipei, Tang, Yutian, Zhang, Tao

“…Software defect prediction strives to detect defect-prone software modules by mining the historical data. Effective prediction enables reasonable testing…”
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Improving high-impact bug report prediction with combination of interactive machine learning and active learning by Wu, Xiaoxue, Zheng, Wei, Chen, Xiang, Zhao, Yu, Yu, Tingting, Mu, Dejun

“…Bug reports record issues found during software development and maintenance. A high-impact bug report (HBR) describes an issue that can cause severe damage…”
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COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction by Feng, Shuo, Keung, Jacky, Yu, Xiao, Xiao, Yan, Bennin, Kwabena Ebo, Kabir, Md Alamgir, Zhang, Miao

“…Generally, there are more non-defective instances than defective instances in the datasets used for software defect prediction (SDP), which is referred to as…”
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