Can we use software analytics to improve the quality of software systems, particularly mobile software?
Emad Shihab
- Concordia University Research Chair in Analytics for Quality Mobile Software
- Associate Professor
- Department of Computer Science and Software Engineering
- software engineering27
- mining software repositories7
- mobile apps
- software quality and best practices11
- software maintenance7
- empirical software engineering8
- smart infrastructures17
- data mining24
- artificial intelligence32
- statistical inference8
- complex software systems8
- mobile computing6
- software metrics5
- open source software7
- software analytics2
- software testing3
- software architectures3
- system engineering and evolution6
- data science32
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Weiyi (Ian) Shang
big data, software engineering, performance engineering
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Yann-Gaël Guéhéneuc
pattern-based software engineering, design pattern detection, metamodeling
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Nikolaos Tsantalis
software engineering, system engineering and evolution, code refactoring
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Juergen Rilling
software engineering, Internet of Things, software quality and best practices
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Abdelwahab Hamou-Lhadj
empirical software engineering, complex software systems, software maintenance
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Jinqiu Yang
automatic software repair, software testing, mining software repositories
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Tse-Hsun (Peter) Chen
performance engineering, DevOps, software quality and best practices
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Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence
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Essam Mansour
distributed/parallel systems, web data management, large-scale analytics on strings
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Jia Yuan Yu
data science, decision theory, machine learning
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Leila Kosseim
computational linguistics, natural language processing, artificial intelligence
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Brigitte Jaumard
large scale optimization, networks, ICT
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Jamal Bentahar
software agents, multi-agent systems, software engineering
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Nizar Bouguila
computer vision, data mining, machine learning
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Mohsen Farhadloo
machine learning, data mining, text analytics
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Ferhat Khendek
software engineering, ICT, service engineering
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Yan Liu
big data, distributed/parallel systems, deep learning
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Olga Ormandjieva
software engineering, software metrics, category theory
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Sudhir Mudur
computer graphics, 3D digital imaging, 3D data acquisition
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Serguei A. Mokhov
Forensic Lucid, formal methods, software engineering
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Tristan Glatard
big data, distributed/parallel systems, cloud computing
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Charles Basenga Kiyanda
thermofluids, mathematical modeling, shock waves
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Salim Lahmiri
artificial intelligence, data science, predictive analytics
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Andrew Delong
deep learning, genomics, machine learning
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Mazdak Nik-Bakht
construction management, BIM, decision making
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Tomasz Neugebauer
digital libraries, open access, metadata
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Arash Mohammadi
signal processing, information fusion, nonlinear systems
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Charalambos Poullis
computer vision, computer graphics, virtual environments
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Miao Song
performing arts, interactive projection mapping, cinema
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Dhrubajyoti Goswami
high performance computing, parallel architectural skeletons, distributed/parallel systems
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Zachary Patterson
transportation planning, sustainable transportation, transportation modeling
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Roch Glitho
end-user services architectures, virtualization, cloud computing
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Satyaveer Singh Chauhan
supply chains, transportation systems, industrial production engineering
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Ayda Basyouni
software quality and best practices, information system security, networks
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Yuhong Yan
service-oriented computing, end-user services architectures, enterprise applications
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Nawwaf Kharma
soft computing, synthetic biology, image processing
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Rustam Vahidov
design science, decision support systems, artificial intelligence
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Anjali Awasthi
city logistics, transportation systems, supply chains
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Peter Grogono
machine learning, programming languages, process-oriented programming
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Mourad Debbabi
cybersecurity, cyberphysical systems, smart grids
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Tien D. Bui
computer vision, biometrology, artificial intelligence
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Sabine Bergler
affect, artificial intelligence, computational linguistics
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Gregory Butler
bioinformatics, big data, genomics