activity
20142021
most citedTowards the Holodeck: Fully Immersive Virtual Reality Visualisation of Scientific and Engineering Data

53 citations · 304 across the 33 of their papers we have counts for

collaborators
Showing 2014 · cs.SEShow all

6 papers · 2 filters

cs.SE2014

Mining developer communication data streams

Andy M. Connor, Jacqui Finlay, Russel Pears

This paper explores the concepts of modelling a software development project as a process that results in the creation of a continuous stream of data. In terms of the Jazz reposito…

cs.SE2014

An automatic architecture reconstruction and refactoring framework

Frederik Schmidt, Stephen G. MacDonell, Andy M. Connor

A variety of sources have noted that a substantial proportion of non trivial software systems fail due to unhindered architectural erosion. This design deterioration leads to low m…

cs.SE2014★ 1 cited

Requirements engineering current practice and capability in small and medium software development enterprises in New Zealand

Alison Talbot, Andy M. Connor

This paper presents research on current industry practices with respect to requirements engineering as implemented within software development companies in New Zealand. A survey in…

cs.SE2014

Bridging the Research-Practice Gap in Requirements Engineering through Effective Teaching and Peer Learning

Andrew M. Connor, Jim Buchan, Krassie Petrova

In this paper, we introduce the concept of the research practice gap as it is perceived in the field of software requirements engineering. An analysis of this gap has shown that tw…

cs.SE2014

Mining Software Metrics from Jazz

Jacqui Finlay, Andy M. Connor, Russel Pears

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…

cs.SE2014★ 25 cited

Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes

Russel Pears, Jacqui Finlay, Andy M. Connor

In this research we use a data stream approach to mining data and construct Decision Tree models that predict software build outcomes in terms of software metrics that are derived…