[HTML][HTML] A systematic mapping study on text analysis techniques in software architecture

T Bi, P Liang, A Tang, C Yang - Journal of Systems and Software, 2018 - Elsevier
Context Information from artifacts in each phase of the software development life cycle can
potentially be mined to enhance architectural knowledge. Many text analysis techniques …

A review of key issues that concern the feasibility of mobile cloud computing

C Zhu, VCM Leung, X Hu, L Shu… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
Recently, the arising of cloud computing (CC) concept and explosive growth of mobile
applications induce a novel technology, ie, mobile cloud computing (MCC). By integrating …

Automatic classification of UML class diagrams using deep learning technique: convolutional neural network

B Gosala, SR Chowdhuri, J Singh, M Gupta, A Mishra - Applied Sciences, 2021 - mdpi.com
Unified Modeling Language (UML) includes various types of diagrams that help to study,
analyze, document, design, or develop any software efficiently. Therefore, UML diagrams …

[HTML][HTML] User influence analysis for github developer social networks

Y Hu, S Wang, Y Ren, KKR Choo - Expert Systems with Applications, 2018 - Elsevier
Github, one of the largest social coding platforms, offers software developers the opportunity
to engage in social activities relating to software development and to store or share their …

History-based model repair recommendations

M Ohrndorf, C Pietsch, U Kelter, L Grunske… - ACM Transactions on …, 2021 - dl.acm.org
Models in Model-driven Engineering are primary development artifacts that are heavily
edited in all stages of software development and that can become temporarily inconsistent …

[HTML][HTML] An experience report on applying software testing academic results in industry: we need usable automated test generation

A Arcuri - Empirical Software Engineering, 2018 - Springer
What is the impact of software engineering research on current practices in industry? In this
paper, I report on my direct experience as a PhD/post-doc working in software engineering …

An extensive dataset of UML models in GitHub

G Robles, T Ho-Quang, R Hebig… - 2017 IEEE/ACM 14th …, 2017 - ieeexplore.ieee.org
The Unified Modeling Language (UML) is widely taught in academia and has good
acceptance in industry. However, there is not an ample dataset of UML diagrams publicly …

[HTML][HTML] Exploring the efficacy of transfer learning in mining image-based software artifacts

N Best, J Ott, EJ Linstead - Journal of Big Data, 2020 - journalofbigdata.springeropen.com
Transfer learning allows us to train deep architectures requiring a large number of learned
parameters, even if the amount of available data is limited, by leveraging existing models …

[HTML][HTML] Characteristics, potentials, and limitations of open-source Simulink projects for empirical research

A Boll, F Brokhausen, T Amorim, T Kehrer… - Software and Systems …, 2021 - Springer
Simulink is an example of a successful application of the paradigm of model-based
development into industrial practice. Numerous companies create and maintain Simulink …

Detecting and exploring side effects when repairing model inconsistencies

DE Khelladi, R Kretschmer, A Egyed - Proceedings of the 12th ACM …, 2019 - dl.acm.org
When software models change, developers often fail in keeping them consistent. Automated
support in repairing inconsistencies is widely addressed. Yet, merely enumerating repairs …