dc.contributor.author | SHAIKH, MOHSIN KHAN | |
dc.contributor.author | ANSARI, MUHAMMAD ADIL | |
dc.contributor.author | JALBANI, AKHTAR HUSSAIN | |
dc.date.accessioned | 2019-10-30T09:48:16Z | |
dc.date.available | 2019-10-30T09:48:16Z | |
dc.date.issued | 2017-01-01 | |
dc.identifier.issn | 2519-5404 | |
dc.identifier.uri | http://142.54.178.187:9060/xmlui/handle/123456789/794 | |
dc.description.abstract | Increasing complexity of software systems require extensive maintenance through decomposition of source code into appropriate abstractions to achieve effective modularization. An optimal modularization of object-oriented software insuring low coupling and high cohesion is perceived as a challenging task. In this paper, we present empirical perspective of new intermodule coupling based modularization metrics to assess their utility. In particular, we explore impact of correlation between these design-based modularization metrics and external quality attributes of software systems. Our experimental study covers 34 open source java software systems and shows that inter-module coupling based modularization correlates with existing metrics of modularization and also bear substantial relationship with vital quality attributes of software design. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | PASTIC | en_US |
dc.subject | Software metrics | en_US |
dc.subject | Software analysis | en_US |
dc.subject | Modularity | en_US |
dc.subject | PASTIC | en_US |
dc.title | Software Analysis with Package Level Modularization Metrics | en_US |
dc.type | Article | en_US |