Search Results - "MENZIES, Tim"

Bellwethers: A Baseline Method for Transfer Learning by Krishna, Rahul, Menzies, Tim

“…Software analytics builds quality prediction models for software projects. Experience shows that (a) the more projects studied, the more varied are the…”
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iSNEAK: Partial Ordering as Heuristics for Model- Based Reasoning in Software Engineering by Lustosa, Andre, Menzies, Tim

“…A "partial ordering" is a way to heuristically order a set of examples (partial orderings are a set where, for certain pairs of elements, one precedes the…”
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Data Mining Static Code Attributes to Learn Defect Predictors by Menzies, T., Greenwald, J., Frank, A.

“…The value of using static code attributes to learn defect predictors has been widely debated. Prior work has explored issues like the merits of "McCabes versus…”
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Balancing Privacy and Utility in Cross-Company Defect Prediction by Peters, F., Menzies, T., Gong, L., Zhang, H.

“…Background: Cross-company defect prediction (CCDP) is a field of study where an organization lacking enough local data can use data from other organizations…”
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Special issue on repeatable results in software engineering prediction by Menzies, Tim, Shepperd, Martin

“…Issue Title: Special Issue: Repeatable Results in Software Engineering Prediction…”
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Defect prediction from static code features: current results, limitations, new approaches by Menzies, Tim, Milton, Zach, Turhan, Burak, Cukic, Bojan, Jiang, Yue, Bener, Ayşe

“…Building quality software is expensive and software quality assurance (QA) budgets are limited. Data miners can learn defect predictors from static code…”
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On the relative value of cross-company and within-company data for defect prediction by Turhan, Burak, Menzies, Tim, Bener, Ayşe B., Di Stefano, Justin

“…We propose a practical defect prediction approach for companies that do not track defect related data. Specifically, we investigate the applicability of…”
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Active learning and effort estimation: Finding the essential content of software effort estimation data by Kocaguneli, E., Menzies, T., Keung, J., Cok, D., Madachy, R.

“…Background: Do we always need complex methods for software effort estimation (SEE)? Aim: To characterize the essential content of SEE data, i.e., the least…”
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Finding conclusion stability for selecting the best effort predictor in software effort estimation by Keung, Jacky, Kocaguneli, Ekrem, Menzies, Tim

“…Background: Conclusion Instability in software effort estimation (SEE) refers to the inconsistent results produced by a diversity of predictors using different…”
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Reduced-Item Food Audits Based on the Nutrition Environment Measures Surveys by Partington, Susan N., PhD, Menzies, Tim J., PhD, Colburn, Trina A., PhD, Saelens, Brian E., PhD, Glanz, Karen, PhD, MPH

“…Introduction The community food environment may contribute to obesity by influencing food choice. Store and restaurant audits are increasingly common methods…”
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Trading Off Scalability, Privacy, and Performance in Data Synthesis by Ling, Xiao, Menzies, Tim, Hazard, Christopher, Shu, Jack, Beel, Jacob

“…Synthetic data has been widely applied in the real world recently. One typical example is the creation of synthetic data for privacy concerned datasets. In…”
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Early Life Cycle Software Defect Prediction. Why? How? by N.C., Shrikanth, Majumder, Suvodeep, Menzies, Tim

“…Many researchers assume that, for software analytics, "more data is better." We write to show that, at least for learning defect predictors, this may not be…”
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Implications of ceiling effects in defect predictors by Menzies, Tim, Turhan, Burak, Bener, Ayse, Gay, Gregory, Cukic, Bojan, Jiang, Yue

“…Context: There are many methods that input static code features and output a predictor for faulty code modules. These data mining methods have hit a…”
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Comparing design and code metrics for software quality prediction by Jiang, Yue, Cuki, Bojan, Menzies, Tim, Bartlow, Nick

“…The prediction of fault-prone modules continues to attract interest due to the significant impact it has on software quality assurance. One of the most…”
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Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry by Tosun, Ayşe, Bener, Ayşe, Turhan, Burak, Menzies, Tim

“…Building defect prediction models in large organizations has many challenges due to limited resources and tight schedules in the software development…”
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The Strangest Thing About Software by Menzies, T., Owen, D., Richardson, J.

“…Although there are times when random search is dangerous and should be avoided, software analysis should start with random methods because they are so cheap,…”
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A brief note, with thanks, on the contributions of Guenther Ruhe by Menzies, Tim

“…Someone once told me that the best we can hope for as academics is to be a footnote in some as-yet-unwritten textbook. Guenther Ruhe’s footnote will surely be…”
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Variance Analysis in Software Fault Prediction Models by Yue Jiang, Jie Lin, Cukic, B., Menzies, T.

“…Software fault prediction models play an important role in software quality assurance. They identify software subsystems (modules,components, classes, or…”
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The Five Laws of SE for AI by Menzies, Tim

“…It is time to talk about software engineering (SE) for artificial intelligence (AI). As shown in Figure 1, industry is becoming increasingly dependent on AI…”
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How to "Sell" Ethics (Using AI): An Interview With Alexander Serebrenik by Menzies, Tim, Menzies, Tim

“…“Most organizations are tone deaf when it comes to ethics,” says Prof. Alexander Serebrenik (Figure 1) of the Eindhoven University of Technology…”
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