Chris Lokan

64 papers A 7B 16C 2Journal 18Unranked 19
YearRankTypeTitle / Venue / Authors
2020 A conf
A Better Set of Object-Oriented Design Metrics for Within-Project Defect Prediction.
EASE
Viet Van Pham, Chris Lokan, Kathryn Kasmarik
2017 B conf
A Virtual Study of Moving Windows for Software Effort Estimation Using Finnish Datasets.
PROFES
Sousuke Amasaki, Chris Lokan
2017 C conf
An Evaluation of Selection Methods for Time-Aware Effort Estimation.
APSEC
Sousuke Amasaki, Chris Lokan
2017 J jnl
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment.
IEEE Trans. Emerg. Top. Comput. Intell.
Shir Li Wang, Kamran Shafi, Theam Foo Ng, Chris Lokan, Hussein A. Abbass
2017 A conf
Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets.
EASE
Hennie Huijgens, Arie van Deursen, Leandro L. Minku, Chris Lokan
2017 J jnl
Investigating the use of moving windows to improve software effort prediction: a replicated study.
Empir. Softw. Eng.
Chris Lokan, Emilia Mendes
2017 J jnl
On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems.
Comput. Intell.
Essam Soliman Debie, Kamran Shafi, Kathryn E. Merrick, Chris Lokan
2016 A conf
A replication study on the effects of weighted moving windows for software effort estimation.
EASE
Sousuke Amasaki, Chris Lokan
2016 — conf
Evaluation of Moving Window Policies with CART.
IWESEP@SANER
Sousuke Amasaki, Chris Lokan
2016 — conf
On Applicability of Fixed-Size Moving Windows for ANN-Based Effort Estimation.
IWSM-Mensura
Sousuke Amasaki, Chris Lokan
2016 J jnl
The usage of ISBSG data fields in software effort estimation: A systematic mapping study.
J. Syst. Softw.
Fernando González-Ladrón-de-Guevara, Marta Fernández-Diego, Chris Lokan
2016 B conf
Towards Better Selection Between Moving Windows and Growing Portfolio.
PROFES
Sousuke Amasaki, Chris Lokan
2015 — conf
A Replication of Comparative Study of Moving Windows on Linear Regression and Estimation by Analogy.
PROMISE
Sousuke Amasaki, Chris Lokan
2015 J jnl
On the effectiveness of weighted moving windows: Experiment on linear regression based software effort estimation.
J. Softw. Evol. Process.
Sousuke Amasaki, Chris Lokan
2015 — conf
The Effects of Duration-Based Moving Windows with Estimation by Analogy.
IWSM/Mensura
Sousuke Amasaki, Chris Lokan
2014 B conf
An online evolutionary rule learning algorithm with incremental attribute discretization.
IEEE Congress on Evolutionary Computation
Essam Soliman Debie, Kamran Shafi, Kathryn E. Merrick, Chris Lokan
2014 J jnl
Dynamic stopping criteria for search-based test data generation for path testing.
Inf. Softw. Technol.
Irman Hermadi, Chris Lokan, Ruhul A. Sarker
2014 J jnl
Investigating the use of duration-based moving windows to improve software effort prediction: A replicated study.
Inf. Softw. Technol.
Chris Lokan, Emilia Mendes
2014 — conf
The Effect of Moving Windows on Software Effort Estimation: Comparative Study with CART.
IWESEP
Sousuke Amasaki, Chris Lokan
2014 B conf
The Effects of Gradual Weighting on Duration-Based Moving Windows for Software Effort Estimation.
PROFES
Sousuke Amasaki, Chris Lokan
2013 J jnl
An agent-based model to simulate and analyse behaviour under noisy and deceptive information.
Adapt. Behav.
Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass
2013 — conf
Calibrating Productivity Drivers for Software Customisation Projects.
APSEC (2)
Md. Mahmudul Hasan, Chris Lokan
2013 B conf
How to treat timing information for software effort estimation?
ICSSP
Masateru Tsunoda, Sousuke Amasaki, Chris Lokan
2013 — conf
Investigating Differential Evolution based rule discovery in learning classifier systems.
SDE
Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick
2013 J jnl
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery.
Evol. Intell.
Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick
2013 — conf
REUCS-CRG: reduct based ensemble of sUpervised classifier system with combinatorial rule generation for data mining.
GECCO (Companion)
Essam Soliman Debie, Kamran Shafi, Chris Lokan
2013 — conf
Real time prediction of worst case air traffic sector collision risk using evolutionary optimization.
CIVTS
Sameer Alam, Md. Murad Hossain, Chris Lokan, Steve Barry, Geoff Aldis, Robert Butcher, Hussein A. Abbass
2013 — conf
Reduct based ensemble of learning classifier system for real-valued classification problems.
CIEL
Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick
2013 B conf
The Evaluation of Weighted Moving Windows for Software Effort Estimation.
PROFES
Sousuke Amasaki, Chris Lokan
2012 B conf
A multi-objective evolutionary method for Dynamic Airspace Re-sectorization using sectors clipping and similarities.
IEEE Congress on Evolutionary Computation
Jiangjun Tang, Sameer Alam, Chris Lokan, Hussein A. Abbass
2012 J jnl
Handling equality constraints in evolutionary optimization.
Eur. J. Oper. Res.
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, Chris Lokan
2012 C conf
Investigating the Use of Duration-Based Moving Windows to Improve Software Effort Prediction.
APSEC
Chris Lokan, Emilia Mendes
2012 — conf
Neuro-Evolution of Escape Behaviour under High Level of Deception and Noise.
RiTA
Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass
2012 — conf
The Effects of Moving Windows to Software Estimation: Comparative Study on Linear Regression and Estimation by Analogy.
IWSM/Mensura
Sousuke Amasaki, Chris Lokan
2012 B conf
What can make an airspace unsafe? characterizing collision risk using multi-objective optimization.
IEEE Congress on Evolutionary Computation
Sameer Alam, Chris Lokan, Hussein A. Abbass
2011 J jnl
Handling equality constraints with agent-based memetic algorithms.
Memetic Comput.
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, Chris Lokan
2010 B conf
A Pittsburgh Multi-Objective Classifier for user preferred trajectories and flight navigation.
IEEE Congress on Evolutionary Computation
Viet Van Pham, Lam Thu Bui, Sameer Alam, Chris Lokan, Hussein A. Abbass
2010 B conf
Adversarial Evolution: Phase transition in non-uniform hard satisfiability problems.
IEEE Congress on Evolutionary Computation
Md. Murad Hossain, Hussein A. Abbass, Chris Lokan, Sameer Alam
2010 J jnl
Adversarial learning: the impact of statistical sample selection techniques on neural ensembles.
Evol. Syst.
Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass
2010 J jnl
Aviation emission inventory development and analysis.
Environ. Model. Softw.
Viet Van Pham, Jiangjun Tang, Sameer Alam, Chris Lokan, Hussein A. Abbass
2010 B conf
Robustness of neural ensembles against targeted and random Adversarial Learning.
FUZZ-IEEE
Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass
2009 B conf
A Data Mining Approach for Detection of Self-Propagating Worms.
NSS
Mohd Fadzli Marhusin, Chris Lokan, Henry Larkin, David Cornforth
2009 J jnl
A Self-Organized, Distributed, and Adaptive Rule-Based Induction System.
IEEE Trans. Neural Networks
Pornthep Rojanavasu, Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Ouen Pinngern
2009 J jnl
AMA: a new approach for solving constrained real-valued optimization problems.
Soft Comput.
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth, Chris Lokan
2009 B conf
An Agent-based Memetic Algorithm (AMA) for nonlinear optimization with equality constraints.
IEEE Congress on Evolutionary Computation
Abu Saleh Shah Muhammad Barkat Ullah, Ruhul A. Sarker, Chris Lokan
2009 A conf
Applying moving windows to software effort estimation.
ESEM
Chris Lokan, Emilia Mendes
2009 A conf
Investigating the Use of Chronological Splitting to Compare Software Cross-company and Single-company Effort Predictions: A Replicated Study.
EASE
Emilia Mendes, Chris Lokan
2009 J jnl
Investigating the use of chronological split for software effort estimation.
IET Softw.
Chris Lokan, Emilia Mendes
2009 — conf
Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations.
GEC Summit
Jiangjun Tang, Sameer Alam, Hussein A. Abbass, Chris Lokan
2009 B conf
The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies.
IEEE Congress on Evolutionary Computation
Sameer Alam, Jianjang Tang, Hussein A. Abbass, Chris Lokan
2009 — conf
Using Chronological Splitting to Compare Cross- and Single-company Effort Models: Further Investigation.
ACSC
Chris Lokan, Emilia Mendes
2008 — conf
An Evaluation of API Calls Hooking Performance.
CIS (1)
Mohd Fadzli Marhusin, Henry Larkin, Chris Lokan, David Cornforth
2008 — ch.
Distributed Learning Classifier Systems.
Learning Classifier Systems in Data Mining
Hai Huong Dam, Pornthep Rojanavasu, Hussein A. Abbass, Chris Lokan
2008 A conf
Investigating the Use of Chronological Splitting to Compare Software Cross-company and Single-company Effort Predictions.
EASE
Chris Lokan, Emilia Mendes
2008 J jnl
Neural-Based Learning Classifier Systems.
IEEE Trans. Knowl. Data Eng.
Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin Yao
2008 J jnl
Replicating studies on cross- vs single-company effort models using the ISBSG Database.
Empir. Softw. Eng.
Emilia Mendes, Chris Lokan
2007 B conf
An agent-based memetic algorithm (AMA) for solving constrained optimazation problems.
IEEE Congress on Evolutionary Computation
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth, Chris Lokan
2007 — ch.
Evolutionary Online Data Mining: An Investigation in a Dynamic Environment.
Evolutionary Computation in Dynamic and Uncertain Environments
Hai Huong Dam, Chris Lokan, Hussein A. Abbass
2006 — conf
Cross-company and single-company effort models using the ISBSG database: a further replicated study.
ISESE
Chris Lokan, Emilia Mendes
2005 — conf
A Replicated Comparison of Cross-Company and Within-Company Effort Estimation Models Using the ISBSG Database.
IEEE METRICS
Emilia Mendes, Chris Lokan, Robert Harrison, Chris Triggs
2005 — conf
Be real! XCS with continuous-valued inputs.
GECCO Workshops
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
2005 A conf
DXCS: an XCS system for distributed data mining.
GECCO
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
2005 B conf
The performance of the DXCS system on continuous-valued inputs in stationary and dynamic environments.
Congress on Evolutionary Computation
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
2005 — conf
What Should You Optimize When Building an Estimation Model?.
IEEE METRICS
Chris Lokan