Ranking of software engineering metrics by fuzzy‐based matrix methodology

Garg, Ramesh Kumar; Sharma, Kapil; Nagpal, C. K.; Garg, Rakesh; Garg, R. K.; Kumar, Rajive; Sandhya, .

doi:10.1002/stvr.459

Cited by 22 publications

(11 citation statements)

References 62 publications

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“…The matrix method has already been used for the ranking of software engineering metrics (Garg et al, 2013) and power plants (Dahiya et al, 2007). This hybrid methodology takes the advantage of both fuzzy set theory to accommodate impreciseness and vagueness and matrix method for calculation of single numerical index called permanent for ranking of COTS components.…”

Section: Methodology Adoptedmentioning

confidence: 99%

MCDM based evaluation and ranking of commercial off-the-shelf using fuzzy based matrix method

Sharma¹,

Sharma²,

Garg³

2017

10.5267/j.dsl

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In today's scenario, software has become an essential component in all kinds of systems. The size and the complexity of the software increases with a corresponding increase in its functionality, hence leads to the development of the modular software systems. Software developers emphasize on the concept of component based software engineering (CBSE) for the development of modular software systems. The CBSE concept consists of dividing the software into a number of modules; selecting Commercial Off-the-Shelf (COTS) for each module; and finally integrating the modules to develop the final software system. The selection of COTS for any module plays a vital role in software development. To address the problem of selection of COTS, a framework for ranking and selection of various COTS components for any software system based on expert opinion elicitation and fuzzy-based matrix methodology is proposed in this research paper. The selection problem is modeled as a multi-criteria decision making (MCDM) problem. The evaluation criteria are identified through extensive literature study and the COTS components are ranked based on these identified and selected evaluation criteria using the proposed methods according to the value of a permanent function of their criteria matrices. The methodology is explained through an example and is validated by comparing with an existing method.Growing Science Ltd. All rights reserved. 7

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Section: Methodology Adoptedmentioning

confidence: 99%

MCDM based evaluation and ranking of commercial off-the-shelf using fuzzy based matrix method

Sharma¹,

Sharma²,

Garg³

2017

10.5267/j.dsl

Self Cite

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“…Interconnection of Pages Page Rank algorithm is a framework given by Google. However in the overhead calculation, they can't work proficiently if isolated [12]. Given an assumption that there exists a trustworthy blog with page rank better than the others yet the new substance added to that blog isn't important, so there must be some instrument to go past the connection investigation for this purpose [9].…”

Section: Page Rank Algorithmmentioning

confidence: 99%

“…IDF factor can be thought of as a normaliser, it diminishes the weight of those words that occur frequently while expands the weight of lesser used identifiers. The IDF report is numerical assessment of information given by the words based on the basis of their occurrence [12].…”

Section: Tf-idf Algorithmmentioning

confidence: 99%

Comparative Analysis of Ranking Algorithms Used On Web

Suri¹,

Gupta²,

Sharma³

2020

AETiC

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With the evolution in technology huge amount of data is being generated, and extracts the necessary data from large volumes of data. This process is significantly complex. Generally the web contains bulk of raw data and the process of converting this data to information mining process can be performed. At whatever point the user places some inquiry on particular web search tool, outcomes are produced with respect to the requests which are dependent on the magnitude of the document created via web information retrieval tools. The results are obtained using calculations and implementation of well written algorithms. Well known web search tools like Google and other varied engines contain their specific manner to compute the page rank, various outcomes are obtained on various web crawlers for a same inquiry because the method for deciding the importance of the sites contrasts among number of algorithm. In this research, an attempt to analyze well-known page ranking calculation on the basis of their quality and shortcomings. This paper places the light on a portion of the extremely mainstream ranking algorithm and attempts to discover a better arrangement that can optimize the time spent on looking through the list of sites.

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“…This paper used AHP method as the simplest technique of ranking. However, during the past few years, there have been other competitive techniques which can be used for ranking alternatives such as weighted distance-based approximation (WDBA) and distance-based approximation (DBA) method [62][63][64], Euclidean Distance Based Approximation (EDBA) [65], Multi-Criteria Decision Making (MCDM) and fuzzy set theory (FST) [66][67][68], Visekriterijumsko Kompromisno Rangiranje (VIKOR) MCDM method [69], Fuzzy Set Theory and Weighted Distance Based Approximation [70], Fuzzy-TOPSIS (F-TOPSIS) and TOPSIS method [71,72], Fuzzy Distance Based Approach (FDBA)' method [73], fuzzy-based matrix methodology [74], Fuzzy Complex Proportional Assessment (COPRAS) [75], Fuzzy Analytical Hierarchy Process (FAHP), COPRAS, VIKOR, WDBA [76], Hybrid MCDM methods [77] and fuzzy ELECTRE approach [78]. Table 1.…”

Section: Critical Success Factors Determination While Assessing the Nmentioning

confidence: 99%

Technology valuation of NTBFs in the field of cleaner production with regard to the investors’ flexibilities and uncertainties in public policy

2019

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Technology valuation, especially in the early stages of new technology-based firms (NTBFs) growth is one of the most critical challenges, which most often hinders the investor and entrepreneur's deals during the venture capital (VC) financing process. It is clear that uncertainties arising from the likelihood of implementing public policies could significantly affect the volatility of NTBFs cash flows in the field of cleaner production. Commonly, these kinds of technologies require public supportive policies for achieving success. Consequently, their technology valuation is more challenging and traditional valuation methods are not suitable anymore because of the definitive assumption of cash flow and ignoring the investors' flexibilities and uncertainties. Therefore, this paper proposes a method by introducing a framework based on the decision tree and the real options analysis which is tailored to meet the technology valuation of such firms during all stages of their growth. Furthermore, unlike previous papers that have utilized the compound options, option to choose has been used to apply investors' flexibilities. Then, the proposed framework is supported by a case study, which has been conducted to verify and validate it. Finally, the conclusion section discusses the contributions and limitations of the study and provides directions for future research.

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Ranking of software engineering metrics by fuzzy‐based matrix methodology

Cited by 22 publications

References 62 publications

MCDM based evaluation and ranking of commercial off-the-shelf using fuzzy based matrix method

MCDM based evaluation and ranking of commercial off-the-shelf using fuzzy based matrix method

Comparative Analysis of Ranking Algorithms Used On Web

Technology valuation of NTBFs in the field of cleaner production with regard to the investors’ flexibilities and uncertainties in public policy

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