Roshan Rajapakse

Higher Degree by Research Candidate

School of Computer Science

Faculty of Sciences, Engineering and Technology


I am a PhD student with the Centre for Research on Engineering Software Technologies (CREST) at the University of Adelaide. My studies are being supervised by Professor M. Ali Babar and Dr. Mansooreh Zahedi. Prior to joining CREST, I worked as a junior staff member at the University of Colombo, Sri Lanka. I also worked in the software development industry in Sri Lanka, before my academic career. My main research interests include conducting empirical software engineering research to study security in the DevOps paradigm, mining software repositories using text mining techniques and socio-technical research.

  • Journals

    Year Citation
    2022 Rajapakse, R. N., Zahedi, M., Babar, M. A., & Shen, H. (2022). Challenges and solutions when adopting DevSecOps: A systematic review. Information and Software Technology, 141, 22 pages.
    DOI Scopus1
  • Conference Papers

    Year Citation
    2021 Rajapakse, R. N., Zahedi, M., & Babar, M. A. (2021). An Empirical Analysis of Practitioners' Perspectives on Security Tool Integration into DevOps. In ESEM '21: Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Vol. abs/2107.02096 (pp. 1-12). New York, NY, United States: Association for Computing Machinery.
    DOI
    2020 Zahedi, M., Rajapakse, R. N., & Babar, M. A. (2020). Mining Questions Asked about Continuous Software Engineering: A Case Study of Stack Overflow.. In J. Li, L. Jaccheri, T. Dingsøyr, & R. Chitchyan (Eds.), EASE '20: Proceedings of the Evaluation and Assessment in Software Engineering• (pp. 41-50). online: ACM.
    DOI Scopus10
    2017 Gunawardena, K. A. N. N. P., Rajapakse, R. N., & Kodikara, N. D. (2017). Applying convolutional neural networks for pre-detection of Alzheimer's disease from structural MRI data. In 2017 24th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2017 Vol. 2017-December (pp. 1-7). IEEE.
    DOI Scopus34
    2017 Gunawardena, K., Rajapakse, R., & Kodikara, N. (2017). Applying Convolutional Neural Networks for Pre-detection of Alzheimer's Disease from Structural MRI data. In 2017 24TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) (pp. 173-179). Auckland, NEW ZEALAND: IEEE.
    WoS14
    2017 Gunawardena, K., Rajapakse, R., Kodikara, N., & Mudalige, I. (2017). Moving from detection to pre-detection of Alzheimer's Disease from MRI data. In 16th International Conference on Advances in ICT for Emerging Regions, ICTer 2016 - Conference Proceedings (pp. 324). Negombo, SRI LANKA: IEEE.
    DOI Scopus6 WoS4
    2016 Sivaneasharajah, L., Perera, M. A. S., Jayasekara, P. B., Perera, J., Karunaratne, D. D., Sandaruwan, K. D., & Rajapakse, R. N. (2016). Facial index based automated composite tool. In 15th International Conference on Advances in ICT for Emerging Regions, ICTer 2015 - Conference Proceedings (pp. 278). U Col Sch Comp, Colombo, SRI LANKA: IEEE.
    DOI
    2014 Rajapakse, R., & Rubasinghe, A. (2014). An Experimentation Framework Towards Longitudinal Analysis of EEG/ERP data to Assess Brain Plasticity. In 14TH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER) 2014 (pp. 260). BMICH, Colombo, SRI LANKA: IEEE.
    2014 Rajapakse, R. N., Sandaruwan, K. D., Karunaratne, D. D., & Vidanapathirana, M. (2014). Anthropometric classification of Nasal Indexes for a Sri Lankan Undergraduate Student Population. In 14TH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER) 2014 (pp. 261). BMICH, Colombo, SRI LANKA: IEEE.
    2013 Madugalla, A. K., Rajapakse, R. N., Amarasinghe, I. U., Padmathilake, V. H., Dharmaratne, A. T., Sandaruwan, D., & Vidanapathirana, M. (2013). FaceID: A 3D computer graphic application for forensic medicine: A novel semi-automated muscle based digital sculpting initiative for forensic facial reconstruction in Sri Lanka. In International Conference on Computer Medical Applications, ICCMA 2013 (pp. 6 pages). Sousse, TUNISIA: IEEE.
    DOI
    2012 Rajapakse, R. N., Madugalla, A. K., Amarasinghe, I. U., Padmathilake, V. H., Dharmaratne, A. T., Sandaruwan, D., & Vidanapathirana, M. (2012). Facial muscle anatomy based approach for forensic facial reconstruction in Sri Lanka. In International Conference on Advances in ICT for Emerging Regions, ICTer 2012 - Conference Proceedings (pp. 27-35). Colombo, SRI LANKA: IEEE.
    DOI Scopus3 WoS2

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