On the public citation graph
Linear Programming as a Baseline for Software Effort Estimation
0 signed · 136 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471028959.sof282openalex-snapshot
Resource Estimation in Software Engineering
inferredcites →https://doi.org/10.1002/sim.4780090710openalex-snapshot
More powerful procedures for multiple significance testing
inferredcites →https://doi.org/10.1002/stvr.1486openalex-snapshot
A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering
inferredcites →https://doi.org/10.1007/3-540-44593-5_20openalex-snapshot
Issues on the Effective Use of CBR Technology for Software Project Prediction
inferredcites →https://doi.org/10.1007/978-3-319-22183-0_29openalex-snapshot
Transformed Vargha-Delaney Effect Size
inferredcites →https://doi.org/10.1007/978-3-319-26844-6_20openalex-snapshot
Investigating Functional and Code Size Measures for Mobile Applications: A Replicated Study
inferredcites →https://doi.org/10.1007/978-3-642-05415-0_22openalex-snapshot
Using Tabu Search to Estimate Software Development Effort
inferredcites →https://doi.org/10.1007/978-3-642-21843-9_16openalex-snapshot
Using Web Objects for Development Effort Estimation of Web Applications: A Replicated Study
inferredcites →https://doi.org/10.1007/978-3-642-48354-7_5openalex-snapshot
Software Engineering Economics
inferredcites →https://doi.org/10.1007/978-3-642-55035-5_15openalex-snapshot
Search-Based Software Project Management
inferredcites →https://doi.org/10.1007/s10515-012-0108-5openalex-snapshot
Finding conclusion stability for selecting the best effort predictor in software effort estimation
inferredcites →https://doi.org/10.1007/s10664-011-9177-5openalex-snapshot
A permutation test based on regression error characteristic curves for software cost estimation models
inferredcites →https://doi.org/10.1007/s10664-011-9187-3openalex-snapshot
Using tabu search to configure support vector regression for effort estimation
inferredcites →https://doi.org/10.1007/s10664-011-9193-5openalex-snapshot
Special issue on repeatable results in software engineering prediction
inferredcites →https://doi.org/10.1016/0164-1212(94)90110-4openalex-snapshot
Robust regression for developing software estimation models
inferredcites →https://doi.org/10.1016/j.infsof.2011.12.008openalex-snapshot
Evaluating prediction systems in software project estimation
inferredcites →https://doi.org/10.1016/j.infsof.2014.05.010openalex-snapshot
A framework for comparing multiple cost estimation methods using an automated visualization toolkit
inferredcites →https://doi.org/10.1016/j.infsof.2015.12.001openalex-snapshot
Web Effort Estimation: Function Point Analysis vs. COSMIC
inferredcites →https://doi.org/10.1016/j.infsof.2016.01.003openalex-snapshot
Exact Mean Absolute Error of Baseline Predictor, MARP0
inferredcites →https://doi.org/10.1016/j.infsof.2016.04.017openalex-snapshot
Tuning for software analytics: Is it really necessary?
inferredcites →https://doi.org/10.1016/s0164-1212(00)00005-4openalex-snapshot
An investigation of machine learning based prediction systems
inferredcites →https://doi.org/10.1016/s0164-1212(02)00021-3openalex-snapshot
An empirical study of maintenance and development estimation accuracy
inferredcites →https://doi.org/10.1023/a:1023010612345openalex-snapshot
A Further Empirical Investigation of the Relationship Between MRE and Project Size
inferredcites →https://doi.org/10.1023/a:1023062629183openalex-snapshot
A Comparative Study of Cost Estimation Models for Web Hypermedia Applications
inferredcites →https://doi.org/10.1023/a:1026582314146openalex-snapshot
On Building Prediction Systems for Software Engineers
inferredcites →https://doi.org/10.1049/ip-sen:20010506openalex-snapshot
What accuracy statistics really measure
inferredcites →https://doi.org/10.1093/biomet/75.4.800openalex-snapshot
A Sharper Bonferroni Procedure for Multiple Tests of Significance
inferredcites →https://doi.org/10.1109/32.637387openalex-snapshot
Estimating software project effort using analogies
inferredcites →https://doi.org/10.1109/52.391832openalex-snapshot
Case studies for method and tool evaluation
inferredcites →https://doi.org/10.1109/5992.814654openalex-snapshot
The (Dantzig) simplex method for linear programming
inferredcites →https://doi.org/10.1109/esem.2015.7321199openalex-snapshot
How to Make Best Use of Cross-Company Data for Web Effort Estimation?
inferredcites →https://doi.org/10.1109/metric.1998.731247openalex-snapshot
Human performance estimating with analogy and regression models: an empirical validation
inferredcites →https://doi.org/10.1109/metric.2003.1232457openalex-snapshot
Using prior-phase effort records for re-estimation during software projects
inferredcites →https://doi.org/10.1109/re.2018.00018openalex-snapshot
Customer Rating Reactions Can Be Predicted Purely using App Features
inferredcites →https://doi.org/10.1109/seaa.2010.19openalex-snapshot
AI-Based Models for Software Effort Estimation
inferredcites →https://doi.org/10.1109/seaa.2010.59openalex-snapshot
Investigating Tabu Search for Web Effort Estimation
inferredcites →https://doi.org/10.1109/seaa.2015.23openalex-snapshot
Investigating Functional and Code Size Measures for Mobile Applications
inferredcites →https://doi.org/10.1109/ssbse.2010.20openalex-snapshot
Genetic Programming for Effort Estimation: An Analysis of the Impact of Different Fitness Functions
inferredcites →https://doi.org/10.1109/tpami.2009.187openalex-snapshot
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
inferredcites →https://doi.org/10.1109/tse.1983.235271openalex-snapshot
Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation
inferredcites →https://doi.org/10.1109/tse.2003.1245300openalex-snapshot
A simulation study of the model evaluation criterion mmre
inferredcites →https://doi.org/10.1109/tse.2005.58openalex-snapshot
Reliability and validity in comparative studies of software prediction models
inferredcites →https://doi.org/10.1109/tse.2007.3openalex-snapshot
A systematic review of software development cost estimation studies
inferredcites →https://doi.org/10.1109/tse.2008.64openalex-snapshot
Bayesian Network Models for Web Effort Prediction: A Comparative Study
inferredcites →https://doi.org/10.1109/tse.2011.111openalex-snapshot
On the Value of Ensemble Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2011.27openalex-snapshot
Exploiting the Essential Assumptions of Analogy-Based Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2012.45openalex-snapshot
Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm
inferredcites →https://doi.org/10.1109/tse.2012.88openalex-snapshot
Active learning and effort estimation: Finding the essential content of software effort estimation data
inferredcites →https://doi.org/10.1109/tse.2017.2650914openalex-snapshot
Adaptive Multi-Objective Evolutionary Algorithms for Overtime Planning in Software Projects
inferredcites →https://doi.org/10.1109/tse.2018.2790925openalex-snapshot
“Sampling” as a Baseline Optimizer for Search-Based Software Engineering
inferredcites →https://doi.org/10.1109/tse.2018.2794977openalex-snapshot
The Impact of Automated Parameter Optimization on Defect Prediction Models
inferredcites →https://doi.org/10.1145/1062455.1062559openalex-snapshot
Validation methods for calibrating software effort models
inferredcites →https://doi.org/10.1145/1370788.1370804openalex-snapshot
Confidence in software cost estimation results based on MMRE and PRED
inferredcites →https://doi.org/10.1145/1414004.1414015openalex-snapshot
Comparative studies of the model evaluation criterions mmre and pred in software cost estimation research
inferredcites →https://doi.org/10.1145/1540438.1540444openalex-snapshot
Why comparative effort prediction studies may be invalid
inferredcites →https://doi.org/10.1145/1868328.1868335openalex-snapshot
How effective is Tabu search to configure support vector regression for effort estimation?
inferredcites →https://doi.org/10.1145/1985441.1985472openalex-snapshot
Bug-fix time prediction models
inferredcites →https://doi.org/10.1145/2245276.2231967openalex-snapshot
A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction
inferredcites →https://doi.org/10.1145/2245276.2231968openalex-snapshot
Single and Multi Objective Genetic Programming for software development effort estimation
inferredcites →https://doi.org/10.1145/22899.22906openalex-snapshot
An empirical validation of software cost estimation models
inferredcites →https://doi.org/10.1145/2568225.2568228openalex-snapshot
How to make best use of cross-company data in software effort estimation?
inferredcites →https://doi.org/10.1145/2601248.2601284openalex-snapshot
Cross- vs. within-company cost estimation studies revisited
inferredcites →https://doi.org/10.1145/2639490.2639509openalex-snapshot
Exploiting prior-phase effort data to estimate the effort for the subsequent phases
inferredcites →https://doi.org/10.1145/2738037openalex-snapshot
A Baseline Model for Software Effort Estimation
inferredcites →https://doi.org/10.1145/2884781.2884830openalex-snapshot
Multi-objective software effort estimation
inferredcites →https://doi.org/10.1145/2915970.2916005openalex-snapshot
Realistic assessment of software effort estimation models
inferredcites →https://doi.org/10.2307/2290095openalex-snapshot
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
inferredcites →https://doi.org/10.2307/2347973openalex-snapshot
An Extension of Shapiro and Wilk's W Test for Normality to Large Samples
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.4324/9781315806730openalex-snapshot
Ordinal Methods for Behavioral Data Analysis
inferredcites →https://doi.org/10.5281/zenodo.268446openalex-snapshot
China: Effort Estimation Dataset
inferredcites →https://doi.org/10.5555/1248721.1248736openalex-snapshot
A Systematic Review of Software Development Cost Estimation Studies
inferredcites →https://doi.org/10.5555/227726.227758openalex-snapshot
Effort estimation using analogy
inferredcites →https://doi.org/10.5555/800078.802522openalex-snapshot
A meta-model for software development resource expenditures
inferredcites →https://doi.org/10.5860/choice.33-5144openalex-snapshot
Empirical methods for artificial intelligence
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2258openalex-snapshot
Data‐driven benchmarking in software development effort estimation: The few define the bulk
inferred← citeshttps://doi.org/10.1002/smr.2367openalex-snapshot
An empirical comparison of validation methods for software prediction models
inferred← citeshttps://doi.org/10.1002/smr.2488openalex-snapshot
A classification scheme to improve conclusion instability using Bellwether moving windows
inferred← citeshttps://doi.org/10.1007/978-3-030-27455-9_1openalex-snapshot
Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone?
inferred← citeshttps://doi.org/10.1007/978-3-030-35333-9_20openalex-snapshot
Can Expert Opinion Improve Effort Predictions When Exploiting Cross-Company Datasets? - A Case Study in a Small/Medium Company
inferred← citeshttps://doi.org/10.1007/978-3-030-69244-5_2openalex-snapshot
Heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder
inferred← citeshttps://doi.org/10.1007/978-3-032-00239-6_23openalex-snapshot
A Comparative Evaluation of Validation Techniques in Software Effort Estimation Using eSOMCOCOMO
inferred← citeshttps://doi.org/10.1007/978-981-19-9948-2_2openalex-snapshot
Artificial Intelligence in Software Project Management
inferred← citeshttps://doi.org/10.1007/s10664-019-09686-wopenalex-snapshot
A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation
inferred← citeshttps://doi.org/10.1007/s10664-022-10192-9openalex-snapshot
Story points changes in agile iterative development
inferred← citeshttps://doi.org/10.1007/s10664-023-10419-3openalex-snapshot
Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software
inferred← citeshttps://doi.org/10.1007/s11219-026-09758-3openalex-snapshot
Input perturbation robustness for software effort estimation: An empirical evaluation of LP4EE enhancement strategies
inferred← citeshttps://doi.org/10.1007/s12652-021-03427-yopenalex-snapshot
Preliminary performance study of a brief review on machine learning techniques for analogy based software effort estimation
inferred← citeshttps://doi.org/10.1007/s41870-019-00339-1openalex-snapshot
A hybrid model of wavelet neural network and metaheuristic algorithm for software development effort estimation
inferred← citeshttps://doi.org/10.1007/s42979-024-03517-6openalex-snapshot
An Empirical Study on Small-Sized Datasets Based on Eubank’s Optimal Spacing Theorem
inferred← citeshttps://doi.org/10.1016/j.eij.2026.100914openalex-snapshot
Advanced effort estimation in software projects using ensemble-based fusion techniques
inferred← citeshttps://doi.org/10.1016/j.infsof.2018.07.012openalex-snapshot
Definition and evaluation of a COSMIC measurement procedure for sizing Web applications in a model-driven development environment
inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106308openalex-snapshot
Assessing the effectiveness of approximate functional sizing approaches for effort estimation
inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106330openalex-snapshot
On an optimal analogy-based software effort estimation
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107567openalex-snapshot
REARRANGE: Effort estimation approach for software clustering-based remodularisation
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112618openalex-snapshot
Rethinking data selection strategies for more accurate software effort prediction using the ISBSG dataset
inferred← citeshttps://doi.org/10.1016/j.procs.2023.01.138openalex-snapshot
Prediction of Software Effort by Using Non-Linear Power Regression for Heterogeneous Projects Based on Use case Points and Lines of code
inferred← citeshttps://doi.org/10.1016/j.scico.2021.102715openalex-snapshot
Evaluating the impact of feature selection consistency in software prediction
inferred← citeshttps://doi.org/10.1049/iet-sen.2018.5334openalex-snapshot
Software development effort estimation: a systematic mapping study
inferred← citeshttps://doi.org/10.1080/0952813x.2021.1871664openalex-snapshot
A tuned feed-forward deep neural network algorithm for effort estimation
inferred← citeshttps://doi.org/10.1109/access.2019.2891878openalex-snapshot
Categorical Variable Segmentation Model for Software Development Effort Estimation
inferred← citeshttps://doi.org/10.1109/access.2022.3200149openalex-snapshot
Adaptive Discretization Using Golden Section to Aid Outlier Detection for Software Development Effort Estimation
inferred← citeshttps://doi.org/10.1109/access.2023.3312716openalex-snapshot
Software Cost and Effort Estimation: Current Approaches and Future Trends
inferred← citeshttps://doi.org/10.1109/access.2024.3404879openalex-snapshot
Review and Empirical Analysis of Machine Learning-Based Software Effort Estimation
inferred← citeshttps://doi.org/10.1109/access.2024.3457771openalex-snapshot
Improved Software Effort Estimation Through Machine Learning: Challenges, Applications, and Feature Importance Analysis
inferred← citeshttps://doi.org/10.1109/access.2025.3558913openalex-snapshot
Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach
inferred← citeshttps://doi.org/10.1109/com-it-con54601.2022.9850592openalex-snapshot
Comparative Analysis of Machine Learning Techniques in Effort Estimation
inferred← citeshttps://doi.org/10.1109/eecsi59885.2023.10295716openalex-snapshot
Research Trends in Software Development Effort Estimation
inferred← citeshttps://doi.org/10.1109/icse.2019.00075openalex-snapshot
Mining Software Defects: Should We Consider Affected Releases?
inferred← citeshttps://doi.org/10.1109/incip64058.2025.11018909openalex-snapshot
Combined Effort Estimation Framework for Heterogeneous Projects Using Machine Learning: A Comparative Analysis
inferred← citeshttps://doi.org/10.1109/re.2018.00018openalex-snapshot
Customer Rating Reactions Can Be Predicted Purely using App Features
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00101openalex-snapshot
Investigating the Effectiveness of Clustering for Story Point Estimation
inferred← citeshttps://doi.org/10.1109/saner60148.2024.00061openalex-snapshot
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios
inferred← citeshttps://doi.org/10.1109/seaa64295.2024.00080openalex-snapshot
The Trade-off Between Data Volume and Quality in Predicting User Satisfaction in Software Projects
inferred← citeshttps://doi.org/10.1109/tse.2020.3040793openalex-snapshot
Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates
inferred← citeshttps://doi.org/10.1109/tse.2020.3047072openalex-snapshot
Sequential Model Optimization for Software Effort Estimation
inferred← citeshttps://doi.org/10.1109/tse.2021.3083360openalex-snapshot
Multi-Objective Software Effort Estimation: A Replication Study
inferred← citeshttps://doi.org/10.1145/3338906.3338941openalex-snapshot
The importance of accounting for real-world labelling when predicting software vulnerabilities
inferred← citeshttps://doi.org/10.1145/3449726.3459479openalex-snapshot
The effect of offspring population size on NSGA-II
inferred← citeshttps://doi.org/10.1145/3475960openalex-snapshot
Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering
inferred← citeshttps://doi.org/10.1145/3475960.3475988openalex-snapshot
Multi-stream online transfer learning for software effort estimation: is it necessary?
inferred← citeshttps://doi.org/10.1145/3597503.3623349openalex-snapshot
Fine-SE: Integrating Semantic Features and Expert Features for Software Effort Estimation
inferred← citeshttps://doi.org/10.12785/ijcds/1201012openalex-snapshot
Analysis of Software Effort Estimation Based on Story Point and Lines of Code using Machine Learning
inferred← citeshttps://doi.org/10.25103/jestr.136.25openalex-snapshot
An Effort Estimation Method for Service-Oriented Architecture
inferred← citeshttps://doi.org/10.3390/electronics12071656openalex-snapshot
The Impact of Data Quality on Software Testing Effort Prediction
inferred← citeshttps://doi.org/10.3390/math14183305openalex-snapshot
Uncertainty-Permeable Analytics for the Software Release Planning Problem
inferred← citeshttps://doi.org/10.3390/sym13112119openalex-snapshot
Spectral Clustering Effect in Software Development Effort Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.1805.00336openalex-snapshot
Hyperparameter Optimization for Effort Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.1912.04189openalex-snapshot
Sequential Model Optimization for Software Process Control
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.