SERL - Software Engineering Research Laboratory

 

The Software Engineering Research Lab (SERL) at AUT University undertakes world-class research directed at understanding and improving the practice of software professionals in their creation and preservation of software systems. We are interested in all models of software provision – bespoke development, package and component customisation, free/libre open source software (FLOSS) development, and delivery of software as a service (SaaS). The research we carry out may relate to just one or all of these models.

Browse by

 

Recently Added

  • Connor, AM; Shea, K (Springer; 2000)
    This paper presents an investigation of two search techniques, tabu search (TS) and simulated annealing (SA), to assess their relative merits when applied to engineering design optimisation. Design optimisation problems ...
  • Connor, AM; Douglas, SS; Gilmartin, MJ (WIT Press; 1995)
    This paper presents a methodology for the synthesis of path generating mechanisms using Genetic Algorithms GAs). GAs are a novel search and optimisation technique inspired by the principles of natural evolution and survival ...
  • Connor, AM (Computing and Information Technology Research and Education, New Zealand (CITRENZ).; 2007)
    This paper presents a framework for the representation of uncertainty in the estimates for software design projects for use throughout the entire project lifecycle. The framework is flexible in order to accommodate uncertainty ...
  • Connor, AM; Finlay, J (ARPN International Journal of Information and Communication Technology Research; 2011)
    In this paper, we describe the extraction of source code metrics from the Jazz repository and the application of data mining techniques to identify the most useful of those metrics for predicting the success or failure of ...
  • Connor, AM (ARPN Journal of Systems and Software; 2011)
    This paper describes the extraction of source code metrics from the Jazz repository and the systematic application of data mining techniques to identify the most useful of those metrics for predicting the success or failure ...

... View More

Search Scholarly Commons


Advanced Search

Browse

Theses and Dissertations

About Scholarly Commons

Usage Statistics

Discover

Share

  • Bookmark and Share