iPerfDetector: Characterizing and detecting performance anti-patterns in iOS applications-Reference-Cited by-同舟云学术

iPerfDetector: Characterizing and detecting performance anti-patterns in iOS applications

Published:2019-04-17 Issue:6 Volume:24 Page:3484-3513
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Afjehei Sara Seif,Chen Tse-Hsun (Peter)^ORCID,Tsantalis Nikolaos

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

http://link.springer.com/content/pdf/10.1007/s10664-019-09703-y.pdf

Reference58 articles.

1. Afjehei SS, Chen T-HP (2018) iOS performance issue reports. https://docs.google.com/spreadsheets/d/1hX8IBcYIVv6x4nWfWczT5oLV0b1SMQK03q6_xC9B8eQ/edit#gid=1079185239 . Accessed 2018-07-23

2. Apple (2012) Practical memory management. https://developer.apple.com/library/archive/documentation/Cocoa/Conceptual/MemoryMgmt/Articles/mmPractical.html . Accessed 2018-06-15

3. Apple (2015) More core data and concurrency. https://cocoacasts.com/more-core-data-and-concurrency . Accessed 2018-06-15

4. Apple (2017) Apple threading programming guide. https://developer.apple.com/documentation/code_diagnostics/main_thread_checker . Accessed 2018-06-15

5. Apple (2017) Nsmanagedobject programming guide. https://developer.apple.com/documentation/coredata/nsmanagedobjectcontext . Accessed 2018-06-15

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