most citedTowards the statistical construction of hybrid development methods

23 citations · 23 across the 2 of their papers we have counts for

collaborators
Showing cs.SEShow all

6 papers · 1 filter

cs.SE202123 cited

Towards the statistical construction of hybrid development methods

Paolo Tell, Jil Klünder, Steffen Küpper +6

Hardly any software development process is used as prescribed by authors or standards. Regardless of company size or industry sector, a majority of project teams and companies use…

cs.SE2021

Diagnosable-by-Design Model-Driven Development for IEC 61499 Industrial Cyber-Physical Systems

Barry Dowdeswell, Roopak Sinha, Stephen G. MacDonell

Integrating the design and creation of fault identification and diagnostic capabilities into Model-Driven Development methodologies is one approach to enhancing the resilience of I…

cs.SE2021

Employing Agent Beliefs during Fault Diagnosis for IEC 61499 Industrial Cyber-Physical Systems

Barry Dowdeswell, Roopak Sinha, Dennis Jarvis +2

We have come to rely on industrial-scale cyber-physical systems more and more to manage tasks and machinery in safety-critical situations. Efficient, reliable fault identification…

cs.SE2021

Finding faults: A scoping study of fault diagnostics for Industrial Cyber-Physical Systems

Barry Dowdeswell, Roopak Sinha, Stephen G. MacDonell

Context: As Industrial Cyber-Physical Systems (ICPS) become more connected and widely-distributed, often operating in safety-critical environments, we require innovative approaches…

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…