Survey on Methods for Automated Measurement of the Software Scale

doi:10.23940/ijpe.20.02.p9.255264

Abstract

Abstract:

Software scale automated measurement plays an increasingly important role in the early stage of software development. Mainstream software scale measurement methods are mainly based on function point methods, which are dependent on manpower. Therefore, software scale measurement based on automated acquisition of function points is one of the emphases of future research. In this paper, software scale measurement is discussed, and main algorithms based on the IFPUG function point method are introduced. These algorithms are compared and analyzed in order to summarize their advantages and disadvantages. Then, four steps that should be performed to automatically obtain function points are proposed, and the technical challenges of each step are pointed out. Finally, the future research direction is given.

Key words: function point, entity, identification, disambiguation, extraction

Jing Zhu, Song Huang, Yaqing Shi, Mingyu Chen, Jialuo Liu, and Erhu Liu. Survey on Methods for Automated Measurement of the Software Scale [J]. Int J Performability Eng, 2020, 16(2): 255-264.

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