DocumentCode
3204380
Title
eFlowMining: An Exception-Flow Analysis Tool for .NET Applications
Author
Garcia, Israel ; Cacho, Nélio
Author_Institution
Dept. de Eng. de Producao, Fed. Univ. of Rio Grande do Norte, Natal, Brazil
fYear
2011
fDate
25-29 April 2011
Firstpage
1
Lastpage
8
Abstract
In this paper, we present a exception-flow analysis tool, called eFlow Mining, that automates the process of gathering and visualizing exception-handling constructs in multi-programming languages. More specifically, the current version of eFlow Mining focuses on code written using the .NET framework to help developers in inspecting applications either to improve them or to understand their exception handling behavior. eFlow Mining extracts metrics and information about the exception flows in. NET applications, providing different views of the exception handling. For instance, an Evolution View allows developers to visualize the behavior of multiple metrics over the application history. Use of this tool on five. NET applications demonstrates that the tool can be helpful to support developers building and evolving applications with appropriate error-handling strategies.
Keywords
data flow analysis; exception handling; network operating systems; program visualisation; programming languages; software maintenance; .NET application; Evolution View; behavior visualization; eFlowMining; error-handling strategy; exception handling behavior; exception-flow analysis tool; multiprogramming language; software evolution; static analysis; Computer languages; Documentation; History; Libraries; Measurement; Runtime; Software; Exception Handling; Software Evolution; Static Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable Computing Workshops (LADCW), 2011 Fifth Latin-American Symposium on
Conference_Location
Sao Jose does Campos
Print_ISBN
978-1-4577-0194-8
Electronic_ISBN
978-0-7695-4394-9
Type
conf
DOI
10.1109/LADCW.2011.18
Filename
5773431
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