Ivan Porres Paltor

Professor, Faculty of Science and Engineering, Information Technology

https://orcid.org/0000-0002-6791-2018

Phone+358-504096303, +358-2-2153463
Emailivan.porres@abo.fi

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

Dr. Eng. Ivan Porres is a professor in Software Engineering at Åbo Akademi University. He has published more than 100 scientific articles on Software Engineering and his current interests including the design, verification and validation of mission critical software-intensive systems. He is interested as well on algorithms and applications for Search Based Software Engineering, using approximate algorithms and heuristics based on genetic algorithms, ant colony optimisation, and more recently machine learning.

Fingerprint

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

4 Similar Profiles

1 Active
5 Finished

VeriDevOps: Automated Protection and Prevention to Meet Security Requirements in DevOps Environments
Truscan, D., Porres Paltor, I., Ashraf, A., Ahmad, T., Chariyarupadannayil Sudheerbabu, G. & Chapagain, S.
EU H2020
01/10/20 → 30/09/23
Project: Research
MegaM@Rt2: MegaModelling at Runtime
Truscan, D., Ahmad, T., Iqbal, J., Porres Paltor, I., Siavashi, F. & Ashraf, A.
ECSEL JU
01/04/17 → 31/03/20
Project: Research
PAM: Practical Applications of Model-based technologies to continuous integration & testing methodologies
Truscan, D., Ahmad, T., Iqbal, J. & Porres Paltor, I.
01/01/12 → 31/12/15
Project: Research
D-Mint: Deployment of Model-Based Technologies to Industrial Testing
Truscan, D., Lilius, J., Porres Paltor, I. & Abbors, F.
01/01/07 → 31/12/09
Project: Research
PECOS: Power and Energy Consumption Testing for NoTA Devices
Lilius, J., Porres Paltor, I. & Truscan, D.
01/09/06 → 30/06/08
Project: Research

890 Citations
17 h-Index
62 Conference contribution
24 Article
23 Commissioned report
11 Chapter
4 More
- 2 Edited Book
- 2 Review Article or Literature Review

Automatic exploratory performance testing using a discriminator neural network
Porres, I., Ahmad, T., Rexha, H., Lafond, S. & Truscan, D., Oct 2020, 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). the Institute of Electrical and Electronics Engineers, Inc., p. 105-113 9 p. 9155898
Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review
Challenges of Artificial Intelligence and Machine Learning Software in Autonomous Vessels
Ashraf, A., Lilius, J., Porres Paltor, I., Walden, M. & Petre, L., 2020, Proceedings of International Seminar on Safety and Security of Autonomous Vessels (ISSAV'19). p. –
Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific

File

4 Downloads (Pure)
Using Deep Reinforcement Learning for Exploratory Performance Testing of Software Systems with Multi-Dimensional Input Spaces
Ahmad, T., Ashraf, A., Truscan, D., Domi, A. & Porres, I., 2020, In : IEEE Access. 21 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
A systematic mapping study of API usability evaluation methods
Rauf, I., Troubitsyna, E. & Porres Paltor, I., 2019, In : Computer Science Review. 33, p. 49–68
Research output: Contribution to journal › Review Article or Literature Review › peer-review

1 Citation (Scopus)
Exhaustive Simulation and Test Generation Using fUML Activity Diagrams
Iqbal, J., Ashraf, A., Truscan, D. & Porres Paltor, I., 2019, Advanced Information Systems Engineering. Paolo, G. & Barbara, W. (eds.). Springer, Cham, p. 96–110
Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

File

1 Citation (Scopus)

1 Downloads (Pure)