A simplified formulation of predictive object points (POP) sizing metric for OO measurement

Jain, Shubha; Yadav, Vijay; Singh, Raghuraj

doi:10.1109/iadcc.2014.6779526

Cited by 2 publications

(8 citation statements)

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“…The utilization of POP technique couldn't increase enough acknowledgement from specialists to be utilized on a usual owing to the shortage of an easy to use support tool and too several tough formulations. POPs use truly, was unfeasible because of it required completely an unnecessary amount of detail for top-down estimation [14]. Predictive Object Points are created inside the setting of organizations(for example Price Systems).…”

Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

“…In any case, no insights about their genuine use in these organizations are in open available [13]. This investigation was led about twenty years past and unfortunately has been no longer in real use [3], [14]. The tool Automated POPAnalyzer (APA)is utilized for evaluating POPs and changes are applied in APA tool for approving the results [14].…”

Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

“…This investigation was led about twenty years past and unfortunately has been no longer in real use [3], [14]. The tool Automated POPAnalyzer (APA)is utilized for evaluating POPs and changes are applied in APA tool for approving the results [14]. Jain et al, (2014) has proposed the refined formula for POP Metric calculation, Refer to "(2),".…”

Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

“…Here the parameters for the different OO metrics are a=TLC, b=NOC, c=DIT, d=WMC respectively. Simplified POP count formula has already been suggested and validated [14].…”

Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

“…Most methodologies for assessing effort need an estimation of the size of the software system. Once a size estimate is accessible, models that depicts size to the effort will be utilized [14].…”

Section: Introduction To Software Metric and Measurementmentioning

confidence: 99%

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Automated Estimation of Predictive Object Points Metric Values for Object-Oriented code

2019

IJRTE

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Abstract: If we are to improve the OO software quality we develop, we must measure our designs by well-defined standards. Possible problems in our system designs can be detected during the development process. If we are to estimate and manage our efforts, we must measure our progress effectively. An POP accurately, an automated tool has been developed and designed. The results of the tools has also been discussed in the paper. object-oriented coding scheme is, in some ways, incompatible with ancient metrics. To measure the size of software system, a variety of techniques for code development estimation exist like SLOC and Function Point, SLOC, as a metric has a number of drawbacks one is SLOC, is not consistent across languages, applications, or developing environments, however, it cannot applied on object-oriented code. The efforts required to develop the code is being calculated using the Predictive Object Point (POP) metric. This counting technique is supported by the Function Point Technique. This paper address the way of effort calculation for object oriented code using POP. To measure the

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Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

“…Here the parameters for the different OO metrics are a=TLC, b=NOC, c=DIT, d=WMC respectively. Simplified POP count formula has already been suggested and validated [14].…”

Section: Pop Count Improvement Suggestedmentioning

confidence: 99%

Section: Introduction To Software Metric and Measurementmentioning

confidence: 99%

See 3 more Smart Citations