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Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470606834openalex-snapshot
Software Metrics and Software Metrology
inferredcites →https://doi.org/10.1007/978-3-319-04298-5_5openalex-snapshot
Agile Requirements Engineering: A Research Perspective
inferredcites →https://doi.org/10.1007/978-3-319-47717-6_11openalex-snapshot
Bridging User Story Sets with the Use Case Model
inferredcites →https://doi.org/10.1007/978-3-319-91602-6_1openalex-snapshot
Cosmic User Story Standard
inferredcites →https://doi.org/10.1007/978-3-540-85553-8openalex-snapshot
Software Process and Product Measurement
inferredcites →https://doi.org/10.1007/978-3-540-89403-2_15openalex-snapshot
Measurement of Functional Size in Conceptual Models: A Survey of Measurement Procedures Based on COSMIC
inferredcites →https://doi.org/10.1007/978-3-642-29044-2openalex-snapshot
Experimentation in Software Engineering
inferredcites →https://doi.org/10.1007/978-3-662-43839-8openalex-snapshot
Design Science Methodology for Information Systems and Software Engineering
inferredcites →https://doi.org/10.1007/s10664-013-9277-5openalex-snapshot
HAZOP-based identification of events in use cases
inferredcites →https://doi.org/10.1007/s10664-016-9437-5openalex-snapshot
Robust Statistical Methods for Empirical Software Engineering
inferredcites →https://doi.org/10.1016/0967-0661(93)90235-jopenalex-snapshot
Object-oriented software engineering. A use case driven approach
inferredcites →https://doi.org/10.1016/j.aci.2019.03.002openalex-snapshot
Revised approach for the prediction of functional size of mobile application
inferredcites →https://doi.org/10.1016/j.biopsych.2005.09.014openalex-snapshot
Size of Treatment Effects and Their Importance to Clinical Research and Practice
inferredcites →https://doi.org/10.1016/j.chb.2014.10.046openalex-snapshot
A systematic literature review on agile requirements engineering practices and challenges
inferredcites →https://doi.org/10.1016/j.csi.2016.08.011openalex-snapshot
Agile Requirements Engineering: A systematic literature review
inferredcites →https://doi.org/10.1016/j.datak.2012.06.005openalex-snapshot
Approximation of COSMIC functional size to support early effort estimation in Agile
inferredcites →https://doi.org/10.1016/j.infsof.2005.02.008openalex-snapshot
Automated software size estimation based on function points using UML models
inferredcites →https://doi.org/10.1016/j.infsof.2010.10.005openalex-snapshot
Simplifying effort estimation based on Use Case Points
inferredcites →https://doi.org/10.1016/j.infsof.2011.02.004openalex-snapshot
Improving the reliability of transaction identification in use cases
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.2014.04.009openalex-snapshot
Model-based early and rapid estimation of COSMIC functional size – An experimental evaluation
inferredcites →https://doi.org/10.1016/j.infsof.2015.06.004openalex-snapshot
A systematic literature review of use case specifications research
inferredcites →https://doi.org/10.1016/j.infsof.2015.12.011openalex-snapshot
Automated COSMIC Function Point measurement using a requirements engineering ontology
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.2016.08.007openalex-snapshot
Functional size approximation based on use-case names
inferredcites →https://doi.org/10.1016/j.infsof.2019.02.002openalex-snapshot
Empirical evaluation and proposals for bands-based COSMIC early estimation methods
inferredcites →https://doi.org/10.1016/j.jss.2018.05.012openalex-snapshot
Perceived importance of agile requirements engineering practices – A survey
inferredcites →https://doi.org/10.1016/j.scico.2016.11.005openalex-snapshot
Analyzing the performance of two COSMIC approximation sizing techniques at the functional process level
inferredcites →https://doi.org/10.1037/0033-2909.114.3.494openalex-snapshot
Dominance statistics: Ordinal analyses to answer ordinal questions.
inferredcites →https://doi.org/10.1109/icsea.2009.96openalex-snapshot
Functional Size of Use Case Diagrams: A Fine-Grain Measurement
inferredcites →https://doi.org/10.1109/iwsm-mensura.2011.45openalex-snapshot
Using the COSMIC Method to Evaluate the Quality of the Documentation of Agile User Stories
inferredcites →https://doi.org/10.1109/iwsm-mensura.2013.14openalex-snapshot
Approximate COSMIC Functional Size -- Guideline for Approximate COSMIC Functional Size Measurement
inferredcites →https://doi.org/10.1109/iwsm-mensura.2013.18openalex-snapshot
Improving the User Story Agile Technique Using the INVEST Criteria
inferredcites →https://doi.org/10.1109/iwsm-mensura.2016.016openalex-snapshot
Functional Size Measurement Patterns: A Proposed Approach
inferredcites →https://doi.org/10.1109/iwsm-mensura.2016.039openalex-snapshot
Approximation of COSMIC Functional Size of Scenario-Based Requirements in Agile Based on Syntactic Linguistic Features—A Replication Study
inferredcites →https://doi.org/10.1109/iwsm-mensura19815.2011openalex-snapshot
2011 Joint Conference of the 21st International Workshop on Software Measurement and the 6th International Conference on Software Process and Product Measurement
inferredcites →https://doi.org/10.1109/iwsm-mensura32372.2013openalex-snapshot
2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement
inferredcites →https://doi.org/10.1109/iwsm-mensura39892.2016openalex-snapshot
2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA)
inferredcites →https://doi.org/10.1109/seaa.2014.30openalex-snapshot
Approximate COSMIC Size: The Quick/Early Method
inferredcites →https://doi.org/10.1137/1.9781611972788.54openalex-snapshot
On the Dangers of Cross-Validation. An Experimental Evaluation
inferredcites →https://doi.org/10.1137/1.9781611972795openalex-snapshot
Proceedings of the 2009 SIAM International Conference on Data Mining
inferredcites →https://doi.org/10.1145/2181101openalex-snapshot
Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement
inferredcites →https://doi.org/10.1145/2181101.2181117openalex-snapshot
Using the COSMIC method to estimate Agile user stories
inferredcites →https://doi.org/10.1145/3143434openalex-snapshot
Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement
inferredcites →https://doi.org/10.1145/3143434.3143450openalex-snapshot
Effort estimation for agile software development
inferredcites →https://doi.org/10.1145/3196398openalex-snapshot
Proceedings of the 15th International Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1145/3196398.3196448openalex-snapshot
Word embeddings for the software engineering domain
inferredcites →https://doi.org/10.19153/cleiej.18.1.4openalex-snapshot
Simulation Based Studies in Software Engineering: A Matter of Validity
inferredcites →https://doi.org/10.19153/cleiej.21.1.6openalex-snapshot
Agile Requirements Engineering in Practice: Status Quo and Critical Problems
inferredcites →https://doi.org/10.2307/25148625openalex-snapshot
Design Science in Information Systems Research1
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-snapshot
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1702.01923openalex-snapshot
Comparative Study of CNN and RNN for Natural Language Processing
inferredcites →https://doi.org/10.5555/2017212.2017217openalex-snapshot
Design science in information systems research
inferredcites →https://doi.org/10.5860/choice.50-5018openalex-snapshot
Experimentation in software engineering
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Estimating Early Phase Agile Projects Using Functional Capability Sizing
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Ai Applications in Software Functional Size Measurement: A Systematic Literature Review
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Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans
inferred← citeshttps://doi.org/10.1007/978-3-032-21373-0_13openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-36587-3_12openalex-snapshot
A RAG-Based Pipeline for Automated COSMIC Functional Size Measurement
inferred← citeshttps://doi.org/10.1007/978-981-16-5640-8_39openalex-snapshot
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Graph based transfer learning with orthogonal tunning for functionality size insights
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inferred← citeshttps://doi.org/10.1007/s11219-025-09736-1openalex-snapshot
Software code defect prediction from requirements: a study based on COSMIC sizing data movements
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AI applications in software functional size measurement: A systematic literature review
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COSMIC FP method in software development estimation using artificial neural networks based on orthogonal arrays
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Predicting Software Functional Size Using Natural Language Processing: An Exploratory Case Study
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A Comparative Study on COSMIC FP Approximation with Deep Learning and Conventional Machine Learning
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On Accuracy of ML-Based Functional Size Approximation Models on Effort Estimation
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LLM-Based Automation of COSMIC Functional Size Measurement From Use Cases
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