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Andre Lustosa

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2024
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Andre Lustosa, Tim Menzies:
iSNEAK: Partial Ordering as Heuristics for Model- Based Reasoning in Software Engineering. IEEE Access 12: 142915-142929 (2024)
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Andre Lustosa, Tim Menzies:
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health. ACM Trans. Softw. Eng. Methodol. 33(3): 58:1-58:22 (2024)
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  - journals/corr/abs-2405-12920
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Tim Menzies, Andre Lustosa:
Streamlining Software Reviews: Efficient Predictive Modeling with Minimal Examples. CoRR abs/2405.12920 (2024)
2023
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  - journals/corr/abs-2301-06577
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Andre Lustosa, Tim Menzies:
Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction. CoRR abs/2301.06577 (2023)
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  - journals/corr/abs-2310-19125
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Andre Lustosa, Tim Menzies:
Partial Orderings as Heuristic for Multi-Objective Model-Based Reasoning. CoRR abs/2310.19125 (2023)
2021
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Tim Menzies, Kewen Peng, Andre Lustosa:
Fairer Software Made Easier (using "Keys"). ASE Workshops 2021: 108-113
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Andre Lustosa, Tim Menzies:
Documenting evidence of a reuse of 'a systematic literature review of techniques and metrics to reduce the cost of mutation testing'. ESEC/SIGSOFT FSE 2021: 1597
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Andre Lustosa, Tim Menzies:
Documenting evidence of a reuse of 'RefactoringMiner 2.0'. ESEC/SIGSOFT FSE 2021: 1598
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  - journals/corr/abs-2107-05088
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Tim Menzies, Kewen Peng, Andre Lustosa:
Fairer Software Made Easier (using "Keys"). CoRR abs/2107.05088 (2021)

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