Browsing by Author "Hall, Tracy"

Now showing items 1-20 of 26

    • Authors' Reply to “Comments on 'Researcher Bias: : The Use of Machine Learning in Software Defect Prediction 

      Shepperd, Martin; Hall, Tracy; Bowes, David (2018-11)
      In 2014 we published a meta-analysis of software defect prediction studies [1]. This suggested that the most important factor in determining results was Research Group i.e., who conducts the experiment is more important ...

    • Building an Ensemble for Software Defect Prediction Based on Diversity Selection 

      Petri, Jean; Bowes, David; Hall, Tracy; Christianson, Bruce; Baddoo, Nathan (ACM Press, 2016-09-09)
      Background: Ensemble techniques have gained attention in various scientific fields. Defect prediction researchers have investigated many state-of-the-art ensemble models and concluded that in many cases these outperform ...

    • Calibrating program slicing metrics for practical use. 

      Bowes, D.; Counsell, S.; Hall, Tracy (IEEE, 2009)

    • Comparing the performance of fault prediction models which report multiple performance measures : recomputing the confusion matrix 

      Bowes, David; Hall, Tracy; Gray, David (ACM Press, 2012)
      There are many hundreds of fault prediction models published in the literature. The predictive performance of these models is often reported using a variety of different measures. Most performance measures are not directly ...

    • DConfusion: A technique to allow cross study performance evaluation of fault prediction studies. 

      Bowes, David; Hall, Tracy; Gray, David (2014-04)
      There are many hundreds of fault prediction models published in the literature. The predictive performance of these models is often reported using a variety of different measures. Most performance measures are not directly ...

    • Developing Fault-Prediction Models : What the research can show industry 

      Hall, Tracy; Beecham, Sarah; Bowes, David; Gray, David; Counsell, Steve (2011)
      A systematic review of the research literature on fault-prediction models from 2000 through 2010 identified 36 studies that sufficiently defined their models and development context and methodology. The authors quantitatively ...

    • Different classifiers find different defects although with different level of consistency 

      Bowes, David; Hall, Tracy; Petrić, Jean (ACM Press, 2015-10-21)
      BACKGROUND - During the last 10 years hundreds of different defect prediction models have been published. The performance of the classifiers used in these models is reported to be similar with models rarely performing above ...

    • Editorial 

      Sarro, Federica; Hall, Tracy; Baddoo, Nathan; Buckley, Jim; English, Michael; Counsell, Steve; Noll, John; Rainer, Austen; Jan-Stol, Klaas; O'Connor, Dara; Power, Norah; Bowes, David; Abrahao, Silvia; Fontana, Francesca Arcelli; Avgeriou, Paris; Ali, Nour; Babar, M. Ali; Baldassarre, Maria Teresa; Biffl, Stefan; Brereton, O. Pearl; Budgen, David; Çaglayan, Bora; Cain, James; Caivano, Danilo; Capiluppi, Andrea; Carver, Jeffrey; Charters, Stuart; Ciolkowski, Marcus; Clear, Tony; Cruzes, Daniela S.; Daneva, Maya; Dieste, Oscar; Dybå, Tore; Falessi, Davide; Ferrucci, Filomena; Franch, Xavier; Galster, Matthias; Gatrell, Matt; Genero, Marcela; Graziotin, Daniel; Harrison, Rachel; Herold, Sebastian; Höst, Martin; Ikram, Naveed; Keung, Jacky; Krinke, Jens; Kuhrmann, Marco; Licorish, Sherlock; Madeyski, Lech; Mendes, Emilia; Méndez Fernández, Daniel; Menzies, Tim; Morasca, Sandro; Müller, Matthias; Münch, Jürgen; Nagappan, Nachiappan; Niazi, Mahmood; Penzenstadler, Birgit; Pfahl, Dietmar; Pfahl, Dietmar; Prechelt, Lutz; Radlinski, Lukasz; Ralph, Paul; Rodríguez, Daniel; Scanniello, Giuseppe; Sharp, Helen; Shepperd, Martin; Da Silva, Fabio Q B; Sjøberg, Dag I K; Solari, Martin; Staples, Mark; Stol, Klaas Jan; Svahnberg, Mikael; Torchiano, Marco; Travassos, Guilherme; Visaggio, Giuseppe; Wagner, Stefan; Winkler, Dietmar; Wnuk, Krzysztof; Wnuk, Krzysztof; Wood, Murray; Yamashita, Aiko; Zhang, He; França, Breno; Martínez-Fernández, Silverio; Meshesha, Fitsum; Mindermann, Kai; Niedermayr, Rainer; Oyetoyan, Tosin Daniel; Ribeiro, Talita; Stade, Melanie; Zahedi, Mansooreh; Zanoni, Marco (ACM Press, 2016-06-01)

    • Evaluating Three Approaches to Extracting Fault Data from Software Change Repositories 

      Hall, Tracy; Bowes, David; Liebchen, Gernot; Wernick, Paul (Springer Nature, 2010)
      Software products can only be improved if we have a good understanding of the faults they typically contain. Code faults are a significant source of software product problems which we currently do not understand sufficiently. ...

    • A framework for evaluation and prediction of software process improvement success 

      Wilson, D. N.; Hall, Tracy; Baddoo, N. (2001-11-15)
      The literature shows that software process improvement (SPI) is a current popular approach to software quality and that many companies are undertaking formal or informal SPI programs. However, the anticipated improvements ...

    • The inconsistent measurement of Message Chains 

      Bowes, David; Randall, David; Hall, Tracy (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Fowler and Beck defined 22 Code Bad Smells. These smells are useful indicators of code that may need to be refactored. A range of tools have been developed that measure smells in Java code. We aim to compare the results ...

    • Motivating developer performance to improve project outcomes in a high maturity organization 

      Hall, Tracy; Jagielska, Dorota; Baddoo, N. (2007-12)
      In this paper we discuss the impact software developer performance has on project outcomes. Project performance remains unreliable in the software industry with many compromised software systems reported in the press. We ...

    • Motivating software engineers : A Theoretically Reflective Model 

      Baddoo, N.; Beecham, Sarah; Hall, Tracy; Robinson, Hugh; Sharp, Helen (INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, 2008)
      We present a model of motivation for software engineers. Our model suggests that software engineers are motivated by two sets of factors, intrinsic and extrinsic motivators, where a subset of intrinsic motivators are aspects ...

    • Motivation in software engineering: a systematic literature review 

      Beecham, Sarah; Baddoo, N.; Hall, Tracy; Robinson, Hugh; Sharp, Helen (2008-08)
      Objective: In this paper, we present a systematic literature review of motivation in Software Engineering. The objective of this review is to plot the landscape of current reported knowledge in terms of what motivates ...

    • Mutation-aware fault prediction 

      Bowes, David; Hall, Tracy; Harman, Mark; Jia, Yue; Sarro, Federica; Wu, Fan (ACM Press, 2016-07-18)
      We introduce mutation-aware fault prediction, which leverages additional guidance from metrics constructed in terms of mutants and the test cases that cover and detect them. We report the results of 12 sets of experiments, ...

    • Program Slice Metrics and Their Potential Role in DSL Design 

      Counsell, S.; Hall, Tracy; Bowes, D.; Black, S. (2009)
      The advantages a DSL and the benefits its use potentially brings imply that informed decisions on the design of a domain specific language are of paramount importance for its use. We believe that the foundations of such ...

    • Program slicing-based cohesion measurement: the challenges of replicating studies using metrics 

      Bowes, D.; Hall, Tracy; Kerr, A. (ACM Press, 2011)
      It is important to develop corpuses of data to test out the efficacy of using metrics. Replicated studies are an important contribution to corpuses of metrics data. There are few replicated studies using metrics reported ...

    • The Relationship between Evolutionary Coupling and Defects in Large Industrial Software 

      Kirbas, Serkan; Caglayan, Bora; Hall, Tracy; Counsell, Steve; Bowes, David; Sen, Alper; Bener, Ayse (2017-04-05)
      Evolutionary coupling (EC) is defined as the implicit relationship between 2 or more software artifacts that are frequently changed together. Changing software is widely reported to be defect-prone. In this study, we ...

    • Reproducibility and Replicability of Software Defect Prediction Studies 

      Mahmood, Zaheed; Bowes, David; Hall, Tracy; Lane, Peter; Petric, Jean (2018-07-01)
      Context: Replications are an important part of scientific disciplines. Replications test the credibility of original studies and can separate true results from those that are unreliable. Objective: In this paper we investigate ...

    • Researcher bias : The use of machine learning in software defect prediction 

      Shepperd, Martin; Bowes, David; Hall, Tracy (2014-06-03)
      Background. The ability to predict defect-prone software components would be valuable. Consequently, there have been many empirical studies to evaluate the performance of different techniques endeavouring to accomplish ...