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Polymer - A Model-driven Approach for Simpler, Safer, and Evolutive Multi-objective Optimization Development.

, , , , , and . MODELSWARD, page 286-293. SciTePress, (2015)

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Model Driven Mutation Applied to Adaptative Systems Testing., , , , , and . ICST Workshops, page 408-413. IEEE Computer Society, (2011)A Forensic Analysis of Android Malware - How is Malware Written and How it Could Be Detected?, , , , , and . COMPSAC, page 384-393. IEEE Computer Society, (2014)IccTA: Detecting Inter-Component Privacy Leaks in Android Apps., , , , , , , , , and . ICSE (1), page 280-291. IEEE Computer Society, (2015)Reconciling Automation and Flexibility in Product Derivation., , , and . SPLC, page 339-348. IEEE Computer Society, (2008)Towards Estimating and Predicting User Perception on Software Product Variants., , , , , , , , and . ICSR, volume 10826 of Lecture Notes in Computer Science, page 23-40. Springer, (2018)Feature Location Benchmark for Software Families Using Eclipse Community Releases., , , , , and . ICSR, volume 9679 of Lecture Notes in Computer Science, page 267-283. Springer, (2016)Impact of tool support in patch construction., , , , , and . ISSTA, page 237-248. ACM, (2017)Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection., , , and . ESSoS, volume 8978 of Lecture Notes in Computer Science, page 51-67. Springer, (2015)On vulnerability evolution in Android apps., , , , and . ICSE (Companion Volume), page 276-277. ACM, (2018)Euphony: harmonious unification of cacophonous anti-virus vendor labels for Android malware., , , , , , and . MSR, page 425-435. IEEE Computer Society, (2017)