scholarly journals Detecting software performance problems using source code analysis techniques

2020 ◽  
Vol 21 (4) ◽  
pp. 219-229
Author(s):  
Salma Eid ◽  
Soha Makady ◽  
Manal Ismail
Keyword(s):  
Source Code ◽  
Software Performance ◽  
Source Code Analysis ◽  
Code Analysis ◽  
Analysis Techniques ◽  
Performance Problems

scholarly journals Securing Web Applications through a Framework of Source Code Analysis

2019 ◽  
Vol 15 (12) ◽  
pp. 1780-1794
Author(s):  
Alka Agrawal ◽  
Mamdouh Alenezi ◽  
Rajeev Kumar ◽  
Raees Ahmad Khan
Keyword(s):  
Web Applications ◽  
Source Code ◽  
Source Code Analysis ◽  
Code Analysis

An Automated Approach for Constructing Framework Instantiation Documentation

2020 ◽  
Vol 30 (04) ◽  
pp. 575-601
Author(s):  
Raquel Fialho de Queiroz Lafetá ◽  
Thiago Fialho de Queiroz Lafetá ◽  
Marcelo de Almeida Maia
Keyword(s):  
Empirical Study ◽  
Human Subjects ◽  
Source Code ◽  
High Quality ◽  
Source Code Analysis ◽  
Code Analysis ◽  
Empirical Assessment ◽  
Significant Difference ◽  
Api Documentation ◽  
Substantial Effort

A substantial effort, in general, is required for understanding APIs of application frameworks. High-quality API documentation may alleviate the effort, but the production of such documentation still poses a major challenge for modern frameworks. To facilitate the production of framework instantiation documentation, we hypothesize that the framework code itself and the code of existing instantiations provide useful information. However, given the size and complexity of existent code, automated approaches are required to assist the documentation production. Our goal is to assess an automated approach for constructing relevant documentation for framework instantiation based on source code analysis of the framework itself and of existing instantiations. The criterion for defining whether documentation is relevant would be to compare the documentation with an traditional framework documentation, considering the time spent and correctness during instantiation activities, information usefulness, complexity of the activity, navigation, satisfaction, information localization and clarity. We propose an automated approach for constructing relevant documentation for framework instantiation based on source code analysis of the framework itself and of existing instantiations. The proposed approach generates documentation in a cookbook style, where the recipes are programming activities using the necessary API elements driven by the framework features. We performed an empirical study, consisting of three experiments with 44 human subjects executing real framework instantiations aimed at comparing the use of the proposed cookbooks to traditional manual framework documentation (baseline). Our empirical assessment shows that the generated cookbooks performed better or, at least, with non-significant difference when compared to the traditional documentation, evidencing the effectiveness of the approach.

scholarly journals Deadlocks Detection in Multithreaded Applications Based on Source Code Analysis

2020 ◽  
Vol 10 (2) ◽  
pp. 532 ◽  
Author(s):  
Damian Giebas ◽  
Rafał Wojszczyk
Keyword(s):  
Petri Nets ◽  
Source Code ◽  
Source Code Analysis ◽  
C Language ◽  
Code Analysis ◽  
Advantages And Disadvantages ◽  
Code Model

This paper extends multithreaded application source code model and shows how to using it to detect deadlocks in C language applications. Four known deadlock scenarios from literature can be detected using our model. For every scenario we created theorems and proofs whose fulfillment guarantees the occurrence of deadlocks in multithreaded applications. Paper also contains comparison of multithreaded application source code model and Petri nets and describe advantages and disadvantages both of them.

Selected papers from the fourth Source Code Analysis and Manipulation (SCAM 2004) Workshop

2006 ◽  
Vol 79 (9) ◽  
pp. 1217-1218
Author(s):  
Tom Dean ◽  
Mark Harman ◽  
Rainer Koschke ◽  
Michael Van De Vanter
Keyword(s):  
Source Code ◽  
Source Code Analysis ◽  
Code Analysis
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