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Could we infer unordered API usage patterns only using the library source code?

, , , and . ICPC, page 71-81. IEEE Computer Society, (2015)

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Detection of software evolution phases based on development activities., , , , and . ICPC, page 15-24. IEEE Computer Society, (2015)Could we infer unordered API usage patterns only using the library source code?, , , and . ICPC, page 71-81. IEEE Computer Society, (2015)Automated Inference of Software Library Usage Patterns., , , , , and . CoRR, (2016)Kubernetes as an Availability Manager for Microservice Applications., , , and . CoRR, (2019)Identifying software components from object-oriented APIs based on dynamic analysis., , , , , and . ICPC, page 189-199. ACM, (2018)Deploying Microservice Based Applications with Kubernetes: Experiments and Lessons Learned., , , and . IEEE CLOUD, page 970-973. IEEE Computer Society, (2018)Mining Multi-level API Usage Patterns., , , and . SANER, page 23-32. IEEE Computer Society, (2015)An observational study on API usage constraints and their documentation., , and . SANER, page 33-42. IEEE Computer Society, (2015)A cooperative approach for combining client-based and library-based API usage pattern mining., and . ICPC, page 1-10. IEEE Computer Society, (2016)Mining complex temporal API usage patterns: an evolutionary approach., , and . ICSE (Companion Volume), page 274-276. IEEE Computer Society, (2017)