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Systematic Mapping: Artificial Intelligence Techniques in Software Engineering

Hazrina Sofian, Nur Arzilawati Md Yunus, Rodina Ahmad
2022 IEEE Access  
Artificial Intelligence (AI) has become a core feature of today's real-world applications, making it a trending topic within the software engineering (SE) community.  ...  Many systematic mapping review papers have been produced only for a specific AI technique or a specific SE phase or activity.  ...  [11] reported a systematic review of the literature on Automated Log Abstraction Techniques (ALATs).  ... 
doi:10.1109/access.2022.3174115 fatcat:kqeylp7hnrggzhqtdha5pzece4

Special section on realizing artificial intelligence synergies in software engineering

Çetin Meriçli, Burak Turhan
2017 Software quality journal  
These papers cover specific AI/SE synergies such as experiments with boosting-based cost-sensitive transfer learning for cross-project defect prediction, a systematic review on the applications of Bayesian  ...  This special section is the joint result of invited papers from the RAISE'14 Workshop on Realizing Artificial Intelligence Synergies in Software Engineering and an open call for contributions to address  ...  In BA systematic literature review on the applications of Bayesian networks to predict software quality,^Ayse Tosun, Ayse Basar Bener, and Shirin Akbarinasaji report on a systematic literature review on  ... 
doi:10.1007/s11219-017-9356-8 fatcat:x25mizqybzfofmvdlj64wdh5kq

Artificial Intelligence Methodologies for Data Management

Joel Serey, Luis Quezada, Miguel Alfaro, Guillermo Fuertes, Manuel Vargas, Rodrigo Ternero, Jorge Sabattin, Claudia Duran, Sebastian Gutierrez
2021 Symmetry  
This literature review evaluates the main methodological contributions of artificial intelligence through machine learning.  ...  This study analyses the main challenges, trends, technological approaches, and artificial intelligence methods developed by new researchers and professionals in the field of machine learning, with an emphasis  ...  Detection-false financial positives Clustering/Research article [91] Improved prediction rate and time K-means Prediction of software defects Both/Review article [92] Method comparison Systematic review  ... 
doi:10.3390/sym13112040 fatcat:dtcfzqmka5byxhupaennbb77xi

Artificial Intelligence in Pregnancy: a Scoping Review

A.M. Oprescu, G. Miro-Amarante, L. Garcia-Diaz, L.M. Beltran, V.E. Rey, M.C. Romero-Ternero
2020 IEEE Access  
This paper presents a scoping review of the scientific literature from the past 12 years (2008-2020) to identify which methodologies, techniques, algorithms and frameworks are used in Artificial Intelligence  ...  Artificial Intelligence has been widely applied to a majority of research areas, including health and medicine.  ...  ACKNOWLEDGMENT The authors would like to thank Sergio Díaz and Pablo Pérez for taking the time to read this article and for proposing some improvements.  ... 
doi:10.1109/access.2020.3028333 fatcat:277rqztxojeajavlp4jzd6jjhy

A Study On Software Engineering Defect Prediction

2022 Data Analytics and Artificial Intelligence  
M any data mining techniques and dataset repository are available to predict the software defects. Bug prediction technique is an important part in software engineering area for last one decade.  ...  Dependent and independent variable are considered in Software bug prediction. To prevent defect based on software metrics software prediction model are used.  ...  The Wrapper method uses a predictive model and trains a new model for each subset.  ... 
doi:10.46632/daai/2/1/1 fatcat:25anbqvp3vg4fjeutyfccly5ya

Research of intelligent methods of software testing

Tofig Kazimov, Tamilla Bayramova, Nazakat Malikova
2021 Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï  
The main software testing methods are white-box, black-box, and grey-box methods; an effort has been made to determine a connection between the given testing methods and artificial intelligence methods  ...  A brief summary of several artificial intelligence engine tools used to automate testing was also provided. Lastly, the possible future benefits from usage of AI in software testing was investigated.  ...  REVIEW OF THE SCIENTIFIC LITERATURE ON THE SUBJECT OF RESEARCHING AI METHODS FOR TESTING In recent years, various parametric and non-parametric software reliability models have been developed in the software  ... 
doi:10.20535/srit.2308-8893.2021.4.03 fatcat:vxux6szyxbf5zdjyk4ewpvrryu

Maintainability Prediction for Object-Oriented Software Systems Based on Intelligent Techniques: Literature Review

anfal fadhil, Taghreed Alreffaee
2020 ˜Al-œRafidain journal for computer sciences and mathematics  
In the literature, a great number of models have been suggested to predict and measure maintainability during various stages of the Software Development Life Cycle, to conduct a comparative study of the  ...  Also, we will concentrate on the artificial intelligence technologies of these studies. ‫  ...  Acknowledgement: First of all, we would like to thank Allah, the Lord of the creation for His bestowed and determination upon me to accomplish this work.  ... 
doi:10.33899/csmj.2020.167342 fatcat:3qz3khewxrb5vlqfhfxtivhek4

The application of artificial intelligence in software engineering: a review challenging conventional wisdom [article]

Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui
2021 arXiv   pre-print
The field of artificial intelligence (AI) is witnessing a recent upsurge in research, tools development, and deployment of applications.  ...  This survey chapter is a review of the most commonplace methods of AI applied to SE.  ...  Thus, the approach does not require the definition of a fitness function. The authors used two different validation methods: manual validation and automatic validation.  ... 
arXiv:2108.01591v1 fatcat:5vmh7wa6mnaotdlcmzm56uunga

Artificial Intelligence (AI) in Rare Diseases: Is the Future Brighter?

Brasil, Pascoal, Francisco, dos Reis Ferreira, Videira, Valadão
2019 Genes  
Presently, there are AI approaches being used in RDs and this review aims to collect and summarize these advances.  ...  Artificial intelligence (AI), with an emphasis on deep learning, holds great promise in this area and is already being successfully applied to basic research, diagnosis, drug discovery, and clinical trials  ...  Phen-Gen is a method that uses a systematic Bayesian framework to combine patients' sequencing data and symptoms from distinct sources.  ... 
doi:10.3390/genes10120978 pmid:31783696 pmcid:PMC6947640 fatcat:wzghxueer5cahkjyxdwq2g24du


2008 International journal on artificial intelligence tools  
One approach in achieving this is to dynamically assess the modules in the synthesized code using software defect prediction techniques.  ...  However, there is still no consensus about the best predictor model for software defects. In this paper, we evaluate different predictor models on four different real-time software defect data sets.  ...  This paper provides a critical review of software defect prediction techniques with special emphasis on machine learning based methods.  ... 
doi:10.1142/s0218213008003947 fatcat:rdqaplpyw5av3li2irns3ar6pa

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

B. K. Nagaraja Rao
2021 American Journal of Artificial Intelligence  
Artificial Intelligence (AI) is playing a dominant role in the 21 st century.  ...  Organizations have more data than ever, so it's crucial to ensure that the analytics team should differentiate between Interesting Data and Useful Data.  ...  Zhe Li et al [101] investigated fault diagnosis and prognosis in machine centers based on data mining approaches to formulate a systematic approach and obtain knowledge for predictive maintenance in  ... 
doi:10.11648/j.ajai.20210501.12 fatcat:gvplqmpqubdw3pquik5eavux5u

Quality Evaluation of Modern Code Reviews Through Intelligent Biometric Program Comprehension

Haytham Hijazi, Joao Duraes, Ricardo Couceiro, Joao Castelhano, Raul Barbosa, Julio Medeiros, Miguel Castelo-Branco, Paulo De Carvalho, Henrique Madeira
2022 IEEE Transactions on Software Engineering  
This work uses Artificial Intelligence techniques to predict the cognitive load from the extracted biomarkers and classify each code region according to a set of features.  ...  Our experimental results show the approach could predict the review quality with 87.77%±4.65 accuracy and a Spearman correlation coefficient of 0.85 (p-value < 0.001) between the predicted and the actual  ...  This work is licensed under a Creative Commons Attribution 4.0 License.  ... 
doi:10.1109/tse.2022.3158543 fatcat:llxq3zee6bh3fnckil6f4wafly

Industrial Artificial Intelligence in Industry 4.0 -Systematic Review, Challenges and Outlook

Ricardo Silva Peres, Xiaodong Jia, Jay Lee, Keyi Sun, Armando Walter Colombo, Jose Barata
2020 IEEE Access  
STUDY IDENTIFICATION, SCREENING AND ELIGIBILITY The systematic literature review was conducted through a mixed-methods approach [12] (including both qualitative and quantitative research methods), following  ...  DATA ANALYSIS As previously mentioned, the data analysis was performed using a mixed-approach combining both qualitative and quantitative methods.  ...  He is a member of the IEEE technical committees on Industrial Agents (IES), Self-Organisation and Cybernetics for Informatics (SMC), and Education in Engineering and Industrial Technologies (IES).  ... 
doi:10.1109/access.2020.3042874 fatcat:yluqxcbf25dazorbmivlddsjf4

Component-Based Software System using Computational Intelligence Technique for Reliability Prediction

Shivani Yadav
2020 International Journal of Advanced Trends in Computer Science and Engineering  
The focus of this paper is on the software product's quality; metrics and we thoroughly review the literature of existing computational intelligence/soft computing techniques and analyze the findings according  ...  We have discussed models for software quality prediction for component-based software and computational intelligence techniques which are widely prevalent for software quality prediction and compare different  ...  LITERATURE REVIEW This section discusses different techniques/methods of predicting different software quality models based on component-based software combining with computational techniques for the enhancement  ... 
doi:10.30534/ijatcse/2020/184932020 fatcat:v54qc3twv5hzfnypvatr7urkyq

Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications [article]

Jože M. Rožanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Ruben Alonso, Nino Cauli (+8 others)
2022 arXiv   pre-print
Furthermore, we align the proposed architecture with the Big Data Value Association Reference Architecture Model. Finally, we validate it on two use cases from real-world case studies.  ...  Therefore, we propose an architecture that integrates Artificial Intelligence (Active Learning, Forecasting, Explainable Artificial Intelligence), simulated reality, decision-making, and users' feedback  ...  Furthermore, the BDVA reference architecture provides structure and guidelines to structure big data software, foster data sharing, enable the use of artificial intelligence in their components while ensuring  ... 
arXiv:2203.10794v1 fatcat:xt2gbrdi5vekbchzisrhq5yx2q
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