Search Results - "Bosu, Michael Franklin"

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  1. 1

    Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study by Mensah, Solomon, Keung, Jacky, MacDonell, Stephen G., Bosu, Michael Franklin, Bennin, Kwabena Ebo

    Published in IEEE transactions on reliability (01-09-2018)
    “…Context: In addressing how best to estimate how much effort is required to develop software, a recent study found that using exemplary and recently completed…”
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    Journal Article
  2. 2

    A Taxonomy of Data Quality Challenges in Empirical Software Engineering by Bosu, Michael Franklin, MacDonell, Stephen G.

    “…Reliable empirical models such as those used in software effort estimation or defect prediction are inherently dependent on the data from which they are built…”
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    Conference Proceeding
  3. 3

    On Satisfying the Android OS Community: User Feedback Still Central to Developers' Portfolios by Licorish, Sherlock A., Tahir, Amjed, Bosu, Michael Franklin, MacDonell, Stephen G.

    “…End-users play an integral role in identifying requirements, validating software features' usefulness, locating defects, and in software product evolution in…”
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    Conference Proceeding Journal Article
  4. 4

    A Taxonomy of Data Quality Challenges in Empirical Software Engineering by Bosu, Michael Franklin, MacDonell, Stephen G

    Published 11-06-2021
    “…Proceedings of the 22nd Australasian Software Engineering Conference (ASWEC2013). Melbourne, Australia, IEEE Computer Society Press, pp.97-106 Reliable…”
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    Journal Article
  5. 5

    Data Quality in Empirical Software Engineering: A Targeted Review by Bosu, Michael Franklin, MacDonell, Stephen G

    Published 23-05-2021
    “…Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering (EASE2013) Context: The utility of prediction models in…”
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    Journal Article
  6. 6

    Analyzing the Stationarity Process in Software Effort Estimation Datasets by Bosu, Michael Franklin, MacDonell, Stephen G, Whigham, Peter A

    Published 04-07-2021
    “…International Journal of Software Engineering and Knowledge Engineering30(11&12)(2020). pp.1607-1640 Software effort estimation models are typically developed…”
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    Journal Article
  7. 7

    On Satisfying the Android OS Community: User Feedback Still Central to Developers' Portfolios by Licorish, Sherlock A, Tahir, Amjed, Bosu, Michael Franklin, MacDonell, Stephen G

    Published 12-03-2021
    “…Proceedings of the 24th Australasian Software Engineering Conference (ASWEC2015). Adelaide, Australia, IEEE Computer Society Press, pp.78-87 End-users play an…”
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    Journal Article
  8. 8

    Testing the Stationarity Assumption in Software Effort Estimation Datasets by Bosu, Michael Franklin, MacDonell, Stephen G, Whigham, Peter

    Published 16-12-2020
    “…Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering (SEKE2020) Software effort estimation (SEE) models are…”
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    Journal Article
  9. 9

    Time-Aware Models for Software Effort Estimation by Bosu, Michael Franklin, MacDonell, Stephen G, Whigham, Peter

    Published 02-12-2020
    “…The 32nd International Conference on Software Engineering & Knowledge Engineering, Virtual, 9 - 19 July, 2020 It seems logical to assert that the dynamic…”
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    Journal Article
  10. 10

    Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study by Mensah, Solomon, Keung, Jacky, MacDonell, Stephen G, Bosu, Michael Franklin, Bennin, Kwabena Ebo

    Published 16-05-2021
    “…IEEE Transactions on Reliability 67(3)(2018), pp.1176-1198 Context: In addressing how best to estimate how much effort is required to develop software, a…”
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    Journal Article
  11. 11

    Duplex output software effort estimation model with self-guided interpretation by Mensah, Solomon, Keung, Jacky, Bosu, Michael Franklin, Bennin, Kwabena Ebo

    Published in Information and software technology (01-02-2018)
    “…Software effort estimation (SEE) plays a key role in predicting the effort needed to complete software development task. However, the conclusion instability…”
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    Journal Article
  12. 12

    Eliciting an Enhancive Maintenance Model in Three Organisations in Ghana by Kajko-Mattsson, M., Bosu, M.

    “…To continuously meet the changing needs of the customers, organisations follow their own enhancive maintenance process models. Unfortunately, these models are…”
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    Conference Proceeding