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cs.SE2022

Comparative analysis of real bugs in open-source Machine Learning projects -- A Registered Report

Tuan Dung Lai, Anj Simmons, Scott Barnett +2

Background: Machine Learning (ML) systems rely on data to make predictions, the systems have many added components compared to traditional software systems such as the data process…

cs.SE2022

Software Engineering in Australasia

Sherlock A. Licorish, Christoph Treude, John Grundy +5

Six months ago an important call was made for researchers globally to provide insights into the way Software Engineering is done in their region. Heeding this call we hereby outlin…

cs.SE2016

Generalized Suffix Tree based Multiple Sequence Alignment for Service Virtualization

Jean-Guy Schneider, Peter Mandile, Steve Versteeg

Assuring quality of contemporary software systems is a very challenging task due to the often large complexity of the deployment environments in which they will operate. Service vi…

cs.SE2016

Enterprise Software Service Emulation: Constructing Large-Scale Testbeds

Cameron Hine, Jean-Guy Schneider, Jun Han +1

Constructing testbeds for systems which are interconnected with large networks of other software services is a challenging task. It is particularly difficult to create testbeds fac…

cs.SE2016

Opaque Service Virtualisation: A Practical Tool for Emulating Endpoint Systems

Steve Versteeg, Miao Du, Jean-Guy Schneider +3

Large enterprise software systems make many complex interactions with other services in their environment. Developing and testing for production-like conditions is therefore a very…

cs.SE2016

Enhanced Playback of Automated Service Emulation Models Using Entropy Analysis

Steve Versteeg, Miao Du, John Bird +3

Service virtualisation is a supporting tool for DevOps to generate interactive service models of dependency systems on which a system-under-test relies. These service models allow…