Indika Kumara

Emaili.p.k.weerasingha.dewagetuenl

52

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Dive into the research topics where Indika Kumara is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

3 Other contribution
2 Conference contribution
2 Article
1 Paper

Travel Time Prediction and Explanation with Spatio-Temporal Features: A Comparative Study
Ahmed, I., Weerasingha Dewage, I. P. K., Reshadat, V., Kayes, A. S. M., van den Heuvel, W-J. A. M. & Tamburri, D. A., 1 Jan 2022, In: Electronics. 11, 1, 18 p., 106.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
8 Citations (Scopus)

98 Downloads (Pure)
DeepIaC - Deep Learning-Based Linguistic Anti-pattern Detection in IaC.
Borovits, N., Kumara, I., Krishnan, P., Palma, S. D., Nucci, D. D., Palomba, F., Tamburri, D. A. & Heuvel, W-J. V. D., 13 Nov 2020, 6 p.
Research output: Other contribution › Academic
13 Citations (Scopus)
Quality Assurance of Heterogeneous Applications - The SODALITE Approach
Kumara, I., Quattrocchi, G., Tamburri, D. A. & Heuvel, W-J. V. D., 2020
Research output: Other contribution › Academic
SDSN@RT - a middleware environment for single-instance multi-tenant cloud applications
Kumara, I., Jun, H. ., Colman, A., Heuvel, W-J. V. D., Tamburri, D. A. & Kapuruge, M., 2020
Research output: Other contribution › Academic
Towards Semantic Detection of Smells in Cloud Infrastructure Code.
Kumara, I., Vasileiou, Z., Meditskos, G., Tamburri, D. A., Heuvel, W-J. V. D., Karakostas, A., Vrochidis, S. & Kompatsiaris, I., 2020, WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics. p. 63-67 5 p. (PervasiveHealth: Pervasive Computing Technologies for Healthcare).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
17 Citations (Scopus)

Studies from Tilburg University Describe New Findings in Cloud Computing (Focloud: Feature Model Guided Performance Prediction and Explanation for Deployment Configurable Cloud Applications)
Indika Kumara
20/04/23
1 item of Media coverage
Press/Media: Expert Comment

Indika Kumara

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Collaborations and top research areas from the last five years

Dive into details

Travel Time Prediction and Explanation with Spatio-Temporal Features: A Comparative Study

DeepIaC - Deep Learning-Based Linguistic Anti-pattern Detection in IaC.

Quality Assurance of Heterogeneous Applications - The SODALITE Approach

SDSN@RT - a middleware environment for single-instance multi-tenant cloud applications

Towards Semantic Detection of Smells in Cloud Infrastructure Code.

Studies from Tilburg University Describe New Findings in Cloud Computing (Focloud: Feature Model Guided Performance Prediction and Explanation for Deployment Configurable Cloud Applications)

Indika Kumara

Fingerprint

Collaborations and top research areas from the last five years

Research output

Travel Time Prediction and Explanation with Spatio-Temporal Features: A Comparative Study

DeepIaC - Deep Learning-Based Linguistic Anti-pattern Detection in IaC.

Quality Assurance of Heterogeneous Applications - The SODALITE Approach

SDSN@RT - a middleware environment for single-instance multi-tenant cloud applications

Towards Semantic Detection of Smells in Cloud Infrastructure Code.

Press/Media

Studies from Tilburg University Describe New Findings in Cloud Computing (Focloud: Feature Model Guided Performance Prediction and Explanation for Deployment Configurable Cloud Applications)