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  3. Results of search for 'ccl=su:"Engineering"', page 14 of 16

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261.
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Don't forget the developers! (and be careful with your assumptions) Orso, A.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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262.
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Limitations and context of research Murphy, B.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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263.
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Actionable metrics are better metrics Meneely, A.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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264.
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Replicated results are more trustworthy Shepperd, M.
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Publication details: 2016
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265.
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Diversity in software engineering research Valdivia-Garcia, H.; Nagappan, M.
Material type: Text; Format: print ; Literary form: Not fiction
Publication details: 2016
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266.
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Once is not enough: why we need replication Juristo, N.
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Publication details: 2016
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267.
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Mere numbers aren't enough: a plea for visualization Runeson, P.
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268.
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Don't embarrass yourself: beware of bias in your data Bird, C.
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269.
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Operational data are missing, incorrect, and decontextualized Mockus, A.
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270.
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Data science revolution in process improvement and assessment? Olvo, M.
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271.
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Correlation is not causation (or, when not to scream "eureka!") Menzies, T.
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272.
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Software analytics for small software companies: more questions than answers Robbes, R.
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273.
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Software analytics under the lamp post (or what Star Trek teaches us about the importance of asking the right questions) Medvidovic, N.; Orso, A.
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Publication details: 2016
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274.
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What can go wrong in software engineering experiments? Vegas, S.; Juristo, N.
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275.
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One size does not fit all Zimmermann, T.
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276.
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White models are good, simple explanations are better Ranganath, Venkatesh-Prasad
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Publication details: 2016
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277.
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The white-shirt effect: learning from failed expectations Precheit, L.
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278.
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Simpler questions can lead to better insights Turhan, B.; Kuutti, K.
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279.
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Continuously experiment to assess values early on Munch, J.
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280.
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Lies, damned lies, and analytics: why big data needs thick data Storey, M.A.
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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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