A Novel Framework Of Exception Handling For Semantic Errors Detected In Mathematical And Computational Tools
Download| Volume 2 Issue 2 2021 | |
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| Author(s): |
Aurangzeb Magsi
Zulfiqar Ali Shar
Prof. Dr. Noor Ahmed Shaikh
Dr. Samina Rajper |
| Abstract | Exceptional handling is a mechanism provide by programming languages to handle some unexpected scenarios/ errors during the program compilation and continue to precede program execution. Some semantic errors which can’t be handled by exception handling produce inappropriate results after program compilation. However, in order to deal with this issue and obtain accurate results, programmers must develop a code to reduce error ration in likewise scenarios. In this paper we introduce an extended exceptional handling framework developed in Java programming language and define the flow of the developed model. Five classes namely Plus, Minus, Division, Multiplication and Remainder are addedin the extended model to handle respective arithmetic exceptions with eight data types such as Byte, Short, Int, Long, Float, Double, Char and String. For experimentation, the developed package i.e. ZAB is imported on two software programs. To measure the complexity of the developed package, we use Cyclomatic Complexity (CC) method and calculated it for all the five classes. The calculation show that CC for Class Plus, Minus and Multi is V(G)=6.ForClassDivision and Reminder,V(G)=2 and respectively. Comparative analysis is done on the calculated results of each class and acquired output of the CC during experimentation show less complexity of Division Class. The Compatibility of Package ZAB isolates and handles semantic errors to reduce compile/run time errors commotion |
| Keywords | Exceptional Handling, Computational Tools, Semantic Error |
| Year | 2021 |
| Volume | 2 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Recognized by | Higher Education Commission of Pakistan, HEC | Category | Y | Journal Name | ILMA Journal of Technology & Software Management | Publisher Name | ILMA University | Jel Classification | -- | DOI | - | ISSN no (E, Electronic) | 2709-2240 | ISSN no (P, Print) | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://ijtsm.ilmauniversity.edu.pk/arc/Vol2/i2/pdf/1.pdf | Page | 1-9 |