activity
20202022
most citedA Baseline Model for Software Effort Estimation

96 citations · 97 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NE2022

Initialisation and Grammar Design in Grammar-Guided Evolutionary Computation

Grant Dick, Peter A. Whigham

Grammars provide a convenient and powerful mechanism to define the space of possible solutions for a range of problems. However, when used in grammatical evolution (GE), great care…

cs.SE2021★ 1 cited

Analyzing the Stationarity Process in Software Effort Estimation Datasets

Michael Franklin Bosu, Stephen G. MacDonell, Peter A. Whigham

Software effort estimation models are typically developed based on an underlying assumption that all data points are equally relevant to the prediction of effort for future project…

cs.SE2021★ 96 cited

A Baseline Model for Software Effort Estimation

Peter A. Whigham, Caitlin A. Owen, Stephen G. MacDonell

Software effort estimation (SEE) is a core activity in all software processes and development lifecycles. A range of increasingly complex methods has been considered in the past 30…

cs.SE2020

Testing the Stationarity Assumption in Software Effort Estimation Datasets

Michael Franklin Bosu, Stephen G. MacDonell, Peter Whigham

Software effort estimation (SEE) models are typically developed based on an underlying assumption that all data points are equally relevant to the prediction of effort for future p…

cs.SE2020

Time-Aware Models for Software Effort Estimation

Michael Franklin Bosu, Stephen G. MacDonell, Peter Whigham

It seems logical to assert that the dynamic nature of software engineering practice would mean that software effort estimation (SEE) modelling should take into account project star…