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Linear Programming as a Baseline for Software Effort Estimation [PDF]
ACM Transactions on Software Engineering and Methodology, 2018 Software effort estimation studies still suffer from discordant empirical results (i.e., conclusion instability) mainly due to the lack of rigorous benchmarking methods. So far only one baseline model, namely, Automatically Transformed Linear Model (ATLM), has been proposed yet it has not been extensively assessed.
Federica Sarro
exaly +4 more sources
Software Development Effort Estimation Techniques: A Survey [PDF]
مجلة التربية والعلم, 2022 Software Effort Estimation (SEE) is used in accurately predicting the effort in terms of (person–hours or person–months). Although there are many models, Software Effort Estimation (SEE) is one of the most difficult tasks for successful software ...
farah alhamdany, laheeb Ibrahim
doaj +1 more source
Estimating Efforts for Various Activities in Agile Software Development: An Empirical Study
IEEE Access, 2022 Effort estimation is an important practice in agile software development. The agile community believes that developers’ estimates get more accurate over time due to the cumulative effect of learning from short and frequent feedback. However, there
Lan Cao
doaj +1 more source
Brief review of classical Effort Estimation models for Software development projects
Selecciones Matemáticas, 2023 A critical synthesis on the most representative models for software development project effort estimation is provided. This work is a basis for a discussion about the methodological and practical challenges which entail the effort estimation field ...
Diego Bravo-Estrada, Roxana López-Cruz
doaj +1 more source
Advanced Bayesian Network for Task Effort Estimation in Agile Software Development
Applied Sciences, 2023 Effort estimation is always quite a challenge, especially for agile software development projects. This paper describes the process of building a Bayesian network model for effort prediction in agile development.
Mili Turic +3 more
doaj +1 more source
Blockchain-Based Software Effort Estimation: An Empirical Study
IEEE Access, 2022 Context: The success or failure of any software development project significantly depends on the accuracy of its effort estimates. Software development effort estimation is the foundation for project bidding, budgeting, planning, and cost control ...
Mansoor Ahmed +6 more
doaj +1 more source
Metaheuristic Algorithms in Optimizing Deep Neural Network Model for Software Effort Estimation
IEEE Access, 2021 Effort estimation is the most critical activity for the success of overall solution delivery in software engineering projects. In this context, the paper’s main contributions to the literature on software effort estimation are twofold. First, this
Muhammad Sufyan Khan +5 more
doaj +1 more source
Negative results for software effort estimation [PDF]
Empirical Software Engineering, 2016 Context:More than half the literature on software effort estimation (SEE) focuses on comparisons of new estimation methods. Surprisingly, there are no studies comparing state of the art latest methods with decades-old approaches. Objective:To check if new SEE methods generated better estimates than older methods.
Tim Menzies +4 more
openaire +2 more sources
Optimized COCOMO parameters using hybrid particle swarm optimization
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 Software effort and cost estimation are crucial parts of software project development. It determines the budget, time, and resources needed to develop a software project.
Noor Azura Zakaria +4 more
doaj +1 more source
Multi-objective software effort estimation [PDF]
Proceedings of the 38th International Conference on Software Engineering, 2016 We introduce a bi-objective effort estimation algorithm that combines Confidence Interval Analysis and assessment of Mean Absolute Error. We evaluate our proposed algorithm on three different alternative formulations, baseline comparators and current state-of-the-art effort estimators applied to five real-world datasets from the PROMISE repository ...
Federica Sarro +2 more
openaire +1 more source