Items where Author is "Ajienka, N"

Journal article

OCHEI, L.C., OGUNSAKIN, R. and AJIENKA, N., 2023. A framework for a decision support system to optimize cloud-hosted services for multitenancy isolation. International Journal of Applied Information Systems (IJAIS), 12 (40), pp. 22-39. ISSN 2249-0868

ZHANG, H., ALTHAM, C., TROVATI, M., ZHANG, C., ROLLAND, I., LAWAL, L., WEGBU, D. and AJIENKA, N., 2022. Adaptive multiscale superpixel embedding convolutional neural network for land use classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, pp. 7631-7642. ISSN 1939-1404

LAKOJU, M., AJIENKA, N., KHANESAR, M.A., BURNAP, P. and BRANSON, D.T., 2021. Unsupervised learning for product use activity recognition: an exploratory study of a "Chatty device". Sensors, 21 (15): 4991.

CAPILUPPI, A., AJIENKA, N. and COUNSELL, S., 2020. The effect of multiple developers on structural attributes: a study based on Java software. Journal of Systems and Software, 167: 110593. ISSN 0164-1212

CAPILUPPI, A., DI RUSCIO, D., DI ROCCO, J., NGUYEN, P.T. and AJIENKA, N., 2020. Detecting Java software similarities by using different clustering techniques. Information and Software Technology, 122: 106279. ISSN 0950-5849

CAPILUPPI, A. and AJIENKA, N., 2020. Lexical content as a cooperation aide: a study based on Java software. Journal of Systems and Software, 164: 110543. ISSN 0164-1212

AJIENKA, N., VANGORP, P. and CAPILUPPI, A., 2020. An empirical analysis of source code metrics and smart contract resource consumption. Journal of Software: Evolution and Process: e2267. ISSN 2047-7473

SHEPPERD, M., AJIENKA, N. and COUNSELL, S., 2018. The role and value of replication in empirical software engineering results. Information and Software Technology, 99, pp. 120-132. ISSN 0950-5849

AJIENKA, N., CAPILUPPI, A. and COUNSELL, S., 2018. An empirical study on the interplay between semantic coupling and co-change of software classes. Empirical Software Engineering, 23 (3), pp. 1791-1825. ISSN 1382-3256

AJIENKA, N. and CAPILUPPI, A., 2017. Understanding the interplay between the logical and structural coupling of software classes. Journal of Systems and Software, 134, pp. 120-137. ISSN 0164-1212

Chapter in book

AJIENKA, N. and OTUKA, R.I., 2022. Prediction of ethereum blockchain ERC-20 token standard smart contract vulnerabilities using source code metrics: an ensemble learning approach. In: A.O. NWAJANA, ed., 5G internet of things and changing standards for computing and electronic systems. IGI Global, pp. 155-171. ISBN 9781668438558

CAPILUPPI, A., AJIENKA, N., ALI, N., ARZOKY, M., COUNSELL, S., DESTEFANIS, G., MIRON, A., NAGARIA, B., NEYKOVA, R., SHEPPERD, M., SWIFT, S. and TUCKER, A., 2020. Using the lexicon from source code to determine application domain. In: Proceedings of The International Conference on Evaluation and Assessment in Software Engineering (EASE 2020), Trondheim, Norway, 15-17 April 2020. Association for Computing Machinery (ACM). (Forthcoming)

CAPILUPPI, A. and AJIENKA, N., 2019. The relevance of application domains in empirical findings. In: Proceedings of ICSE 2019 (SoHeal). Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728134413

AJIENKA, N. and CAPILUPPI, A., 2018. National boundaries and semantics of artefacts in open source development. In: Proceedings: 2018 IEEE/ACM 1st International Workshop on Software Health - SoHeal 2018, Gothenburg, Sweden, 27 May 2018. Gothenburg: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781538661819

AJIENKA, N., CAPILUPPI, A. and COUNSELL, S., 2017. Managing hidden dependencies in OO software: a study based on open source projects. In: Proceedings: 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement - ESEM02017, Toronto, Ontario, Canada, 9-10 November 2017. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 141-150. ISBN 9781509040391

AJIENKA, N. and CAPILUPPI, A., 2016. Semantic coupling between classes: corpora or identifiers? In: ESEM '16: proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. ACM Press. ISBN 9781450344272

Conference contribution

CAPILUPPI, A. and AJIENKA, N., 2020. Towards a dependency-driven taxonomy of software types. In: 3rd International Workshop on Software Health: SoHeal 2020, Seoul, South Korea, 03 July 2020.

CAPILUPPI, A., AJIENKA, N. and ROMO, B.A., 2019. Application domains in the Research Papers at BENEVOL: a retrospective. In: BENEVOL 2019: The 18th Belgium-Netherlands Software Evolution Workshop, Brussels, Belgium, 28-29 November 2019.

AJIENKA, N. and CAPILUPPI, A., 2019. The relevance of application domains in empirical findings. In: 2nd International Workshop on Software Health: SoHeal 2019, Montreal, Canada, 28 May 2019.