Cite this DOI
10.46243/jstj.2020.v5.i2.291 · Measurement of Dynamic Complexity using Aspect Oriented Approach
APA (7th edition)
Manju, & Kumar Bhatia, P. (2020). Measurement of Dynamic Complexity using Aspect Oriented Approach. *Journal of Science & Technology*, *05*(02), 71–75. https://doi.org/10.46243/jstj.2020.v5.i2.291
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{manju2020measurement,
author = {Manju and Kumar Bhatia, Pradeep},
title = {{Measurement of Dynamic Complexity using Aspect Oriented Approach}},
journal = {Journal of Science \& Technology},
year = {2020},
month = {apr},
volume = {05},
number = {02},
pages = {71--75},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jstj.2020.v5.i2.291},
url = {https://doi.org/10.46243/jstj.2020.v5.i2.291},
language = {en},
abstract = {Complexity plays a vital role to find quality of software. There are lots of static or compile time metrics available in literature to find complexity of software, but very few metrics are available to find runtime complexity of software. In this paper, value of existing complexity metric is calculated by using CodeMR tool which is anEclipse plugin. Further, we introduced anew metric named DWMC, dynamic weighted method complexity to measure complexity of a class at run time. A new tool is purposed named DynaDwmcimplemented in AspectJusing aspect oriented programming to measure the value of purposed metric. After that, comparison of static WMC and runtime DWMC metric values is done. An experimental study is done on 15 java classes and it is concluded that purposed metric DWMC plays a significant role to find complexity, hence quality of software system.}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - Measurement of Dynamic Complexity using Aspect Oriented Approach AU - Manju AU - Kumar Bhatia, Pradeep JO - Journal of Science & Technology PY - 2020 DA - 2020/04/09/ VL - 05 IS - 02 SP - 71 EP - 75 PB - Longman Publishers SN - 2456-5660 LA - en AB - Complexity plays a vital role to find quality of software. There are lots of static or compile time metrics available in literature to find complexity of software, but very few metrics are available to find runtime complexity of software. In this paper, value of existing complexity metric is calculated by using CodeMR tool which is anEclipse plugin. Further, we introduced anew metric named DWMC, dynamic weighted method complexity to measure complexity of a class at run time. A new tool is purposed named DynaDwmcimplemented in AspectJusing aspect oriented programming to measure the value of purposed metric. After that, comparison of static WMC and runtime DWMC metric values is done. An experimental study is done on 15 java classes and it is concluded that purposed metric DWMC plays a significant role to find complexity, hence quality of software system. DO - 10.46243/jstj.2020.v5.i2.291 UR - https://doi.org/10.46243/jstj.2020.v5.i2.291 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjstj.2020.v5.i2.291 gives all four in one JSON answer.
