Comprehensive Multiplatform Dynamic Program Analysis for Java and Android
| Autor: | Yudi Zheng, Lubomír Bulej, Haiyang Sun, Stephen Kell, Walter Binder |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Profiling (computer programming)
Java Computer science Programming language business.industry Code coverage Software development 020207 software engineering 02 engineering and technology Tracing computer.software_genre Software portability Virtual machine 0202 electrical engineering electronic engineering information engineering Dynamic program analysis 020201 artificial intelligence & image processing Android (operating system) business computer Software computer.programming_language |
| Zdroj: | Web of Science IEEE Software |
| ISSN: | 0740-7459 |
| Popis: | Dynamic program analyses, such as profiling, tracing and bug-finding\ud tools, are essential for software engineering. Unfortunately, implementing\ud dynamic analyses for managed languages such as Java is unduly difficult\ud and error-prone, because the run-time environments provide only complex\ud low-level mechanisms. Currently, programmers writing custom tooling\ud must expend great effort in tool development and maintenance, while\ud still suffering substantial limitations such as incomplete code coverage\ud or lack of portability. Ideally, a framework would be available in which\ud dynamic analysis tools could be expressed at a high level, robustly, with\ud high coverage and supporting alternative run-times such as Android. We\ud describe our research on an \all-in-one" dynamic program analysis frame-\ud work which uses a combination of techniques to satisfy these requirements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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