E-APK: Energy pattern detection in decompiled android applications

Gregório, Nelson; Bispo, João; Fernandes, João Paulo; Medeiros, Sérgio

doi:10.1016/j.cola.2023.101220

Cited by 1 publication

(2 citation statements)

References 15 publications

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“…Code obfuscation has been used primarily to protect proprietary software from the unauthorized reverse engineering process. However, there are other potential applications of obfuscation (e.g., [65,66]). In our case, obfuscation was used to mimic code bloat in GP.…”

Section: Methodsmentioning

confidence: 99%

“…However, in the replicated experiment, we introduced a new threat to construct validity. We assumed that obfuscating [64][65][66] attribute grammars by mimicking code bloat is equivalent to automatically generated attribute grammars with code bloat by GP. Although this assumption appears to be reasonable since, in our obfuscation approach, operators and operands were the same as the sets F and T in GP [5,6,8] with no effect on the meaning of expression on the right hand of assignment, there was still a chance that, in obfuscating attribute grammars, mimicking code bloat had been under/over presented.…”

Section: Threats To Validitymentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Code Bloat on Genetic Program Comprehension: Replication of a Controlled Experiment on Semantic Inference

Kosar,

Kovačević,

Mernik

et al. 2023

Mathematics

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Our previous study showed that automatically generated attribute grammars were harder to comprehend than manually written attribute grammars, mostly due to unexpected solutions. This study is an internally differentiated replication of the previous experiment, but, unlike the previous one, it focused on testing the influence of code bloat on comprehension correctness and efficiency. While the experiment’s context, design, and measurements were kept mostly the same as in the original experiment, more realistic code bloat examples were introduced. The replicated experiment was conducted with undergraduate students from two universities, showing statistically significant differences in comprehension correctness and efficiency between attribute grammars without code bloat and attribute grammars with code bloat, although the participants perceived attribute grammars with code bloat as simple as attribute grammars without code bloat. On the other hand, there was no statistically significant difference in comprehension correctness and efficiency between automatically generated attribute grammars with possible unexpected solutions and attribute grammars with code bloat, although there was a statistically significant difference in participants’ perspective of simplicity between automatically generated attribute grammars with possible unexpected solutions and attribute grammars with code bloat. The participants perceived attribute grammars with code bloat as significantly simpler than automatically generated attribute grammars.

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Section: Methodsmentioning

confidence: 99%