Browse by Author or Creator

Article

• Janabi, A., Kanakis, T. and Johnson, M. (2022) Overhead Reduction Technique for Software-Defined Network based Intrusion Detection Systems. IEEE Access. 10, 66481 - 66491. 2169-3536.
• Janabi, A., Kanakis, T. and Johnson, M. (2022) Convolutional Neural Network based algorithm for Early Warning Proactive System security in Software Defined Networks. IEEE Access. 10, 14301 - 14310. 2169-3536.

Book Section

• Oakes, J., Johnson, M., Xue, J. and Turner, S. (2019) Measuring and Reducing the Cognitive Load for the End Users of Complex Systems. In: Bi, Y., Bhatia, R. and Kapoor, S. (eds.) Intelligent Systems and Applications : AISC 1037. Switzerland: Springer Nature Switzerland AG. pp. 1199-1209.
• Butler, T. and Johnson, M. (2017) Seven deadly sins of software flexibility. In: 13th China Europe International Symposium Of Software Engineering Education. Derby: University of Derby.
• Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2015) Automated test case generation from domain specific models of high-level requirements. In: Proceedings of the 2015 Conference on Research in Adaptive and Convergent Systems :. New York, NY, USA: Association for Computing Machinery (ACM). pp. 505-508.

Conference or Workshop Item

• Johnson, M., Edwards, R. and Hancox, H. (2017) An assessment of the impact on student learning via the use of role-play to simulate client interactions within software engineering assessments. Paper presented to: 13th China Europe Symposium on Software Engineering Education (CEISEE), Athens, Greece, 2017-05-01.
• Johnson, M., Edwards, R. and Hancox, H. (2017) An assessment of the impact on student learning via the use of role-play to simulate client interactions within software engineering assessments. Paper presented to: 13th China Europe Symposium on Software Engineering Education (CEISEE), Athens, Greece, 24-25 May 2017.
• Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2016) A textual language for requirement modelling. Workshop presented to: School of Science and Technology Annual Research Conference, Newton Building, The University of Northampton, 02 March 2016.

Conference Proceedings

• Oakes, J., Johnson, M., Xue, J. and Turner, S. J. (2016) Simplified deployment of virtual machines using an intelligent design engine. In: Proceedings of Science and Information (SAI) Computing Conference 2016. London: IEEE. 9781467384605. pp. 566-572.
• Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2015) Automated test case generation from domain specific models of high-level requirements. In: Proceedings of the 2015 Conference on Research in Adaptive and Convergent Systems. New York, NY, USA: ACM. 9781450337380. pp. 505-508.
• Johnson, M. and Davis, R. (2009) An examination of the causality of transition and retention failure with computer science based courses. In: White, H. (ed.) 10th Annual Conference of the Subject Centre for Information and Computer Sciences. Newtownabbey: Higher Education Academy, Subject Centre for ICS. 9780955967665. p. 148.

Thesis

• Johnson, M. The Dyslexic User's Interface Support Tool (DUIST) - a framework for performance enhancing interface adaptation strategies for dyslexic computer users. PhD thesis. University of Northampton.