Optimized Architecture-centric Function Points' Clustering and Aggregating  About Service Flow

Xiaona Xia; Baoxiang Cao; Jiguo Yu

doi:10.19026/rjaset.5.4274

Optimized Architecture-centric Function Points' Clustering and Aggregating About Service Flow

Research Journal of Applied Sciences Engineering and Technology ◽

10.19026/rjaset.5.4274 ◽

2013 ◽

Vol 5 (22) ◽

pp. 5260-5266

Author(s):

Xiaona Xia ◽

Baoxiang Cao ◽

Jiguo Yu

Keyword(s):

Service Flow ◽

Function Points

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Neural Network Model to Calculate the Creep Data Using Size

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.60 ◽

2017 ◽

Vol 7 (8) ◽

pp. 257

Author(s):

Seetharam .K ◽

Sharana Basava Gowda ◽

. Varadaraj

Keyword(s):

Neural Network ◽

Risk Factors ◽

Software Engineering ◽

Network Model ◽

Neural Network Model ◽

Software Metrics ◽

Creep Data ◽

Engineering Software ◽

Function Points ◽

Different Levels

In Software engineering software metrics play wide and deeper scope. Many projects fail because of risks in software engineering development[1]t. Among various risk factors creeping is also one factor. The paper discusses approximate volume of creeping requirements that occur after the completion of the nominal requirements phase. This is using software size measured in function points at four different levels. The major risk factors are depending both directly and indirectly associated with software size of development. Hence It is possible to predict risk due to creeping cause using size.

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Pegaruh Saluran Distribusi Terhadap Volume Penjualan (Studi Pada Pt Graha Kerindo Utama Kediri)

AKUNTABILITAS Jurnal Ilmiah Ilmu-Ilmu Ekonomi ◽

10.30957/akuntabilitas.v9i1.203 ◽

2016 ◽

Vol 9 (1) ◽

pp. 4

Author(s):

Nurul Farida

Keyword(s):

Service Flow

In streamlining of product and service flow from produsers toconsumers one of the most important or should not be ignored isdistribution, in an effort to reach the purpose and target of company inmarketing every companies do distribution. The main purpose of companyin essence is same, that is increasing the volume of sale so the provit willbe increasing without ignoring consumers satisfaction.This research usingthe quantitavestatistics with “Analis Korelasi Sederhana” often called“Korelasi Pearson (Person Product Moment), it purpose for knowing theeffect of distribution on volume of sales. Based on the result obtained bycorrelation r= 0,987 and do experiment of “t” with the result tb=19.42 so itcan be concluded based on t tabe, t greater than t in table a= 1% (19.42 >3,169), so Ho was rejected. It mean between distribution with volume ofsales is very influential and significant.

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