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  3. Results of search for 'ccl=su:"Software engineering."', page 4 of 7

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61.
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Identifying fault-prone files in large industrial software systems Weyuker, E.; Ostrand, T.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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62.
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A tailored suit: the big opportunity in personalizing issue tracking Baysal, O.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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63.
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What counts is decisions, not numbers--toward an analytics design sheet Ruhe, G.; Nayebi, M.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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64.
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A large ecosystem study to understand the effect of programming languages on code quality Ray, B.; Posnett, D.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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65.
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Code reviews are not for finding defects--even established tools need occasional evaluation Czerwonka, J.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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66.
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Interviews Bird, C.
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Publication details: 2016
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67.
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Look for state transitions in temporal data Holmes, R.
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Publication details: 2016
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68.
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Card-sorting: from text to themes Zimmermann, T.
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Publication details: 2016
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69.
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Tools! Tools! We need tools! Spinellis, D.
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Publication details: 2016
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70.
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Evidence-based software engineering Dyba, T.; Bergersen, G.R.; Sjoberg, D.I.K.
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Publication details: 2016
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71.
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Which machine learning method do you need? Minku, L.L.
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Publication details: 2016
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72.
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Structure your unstructured data first!: the case of summarizing unstructured data with tag clouds Bacchelli, A.
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Publication details: 2016
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73.
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Parse that data! Practical tips for preparing your raw data for analysis Guo, P.
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Publication details: 2016
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74.
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Natural language processing is no free lunch Wagner, S.
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75.
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Aggregating empirical evidence for more trustworthy decisions Budgen, D.
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76.
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If it is software engineering, it is (probably) a Bayesian factor Bener, A.; Tosun, A.
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Publication details: 2016
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77.
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Becoming Goldilocks: privacy and data sharing in "just right" conditions Peters, F.
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78.
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The wisdom of the crowds in predictive modeling for software engineering Minku, L.L.
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Publication details: 2016
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79.
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Combining quantitative and qualitative methods (when mining software data) Di Penta, M.
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Publication details: 2016
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80.
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A process for surviving survey design and sailing through survey deployment Barik, T.; Murphy-Hill, E.
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Publication details: 2016
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SOUTHVILLE LIBRARY

Southville International School and Colleges Library

1281 Tropical Ave. Cor. Luxembourg St., BF Homes International, Las Pinas City

Tel. No. 8256374 / 252358 Loc. 117/146

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