Presentation 2022-03-07
Experimental Evaluation of Software Project Data Recovery from Data Fragments
Masaki Nishiwaki, Akito Monden, Mariko Sasakura, Kinari Nishiura,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, with the development of information technology, a large amount of data has been generated and its analysis results have been reported, but at the same time, there are cases where the original data for the analysis is not shared and is unavailable. In this study, we investigated how to recover the original data from graphs, statistics, regression equations, and other data in reports and papers, especially those related to software development, and conducted evaluation experiments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Data Fragments / Data Recovery / Rule Mining
Paper # SS2021-52
Date of Issue 2022-02-28 (SS)

Conference Information
Committee SS
Conference Date 2022/3/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Software Science etc.
Chair Takashi Kobayashi(Tokyo Inst. of Tech.)
Vice Chair Kozo Okano(Shinshu Univ.)
Secretary Kozo Okano(Hiroshima City Univ.)
Assistant Shinpei Ogata(Shinshu Univ.)

Paper Information
Registration To Technical Committee on Software Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Experimental Evaluation of Software Project Data Recovery from Data Fragments
Sub Title (in English)
Keyword(1) Data Fragments
Keyword(2) Data Recovery
Keyword(3) Rule Mining
1st Author's Name Masaki Nishiwaki
1st Author's Affiliation Okayama University(Okayama Univ.)
2nd Author's Name Akito Monden
2nd Author's Affiliation Okayama University(Okayama Univ.)
3rd Author's Name Mariko Sasakura
3rd Author's Affiliation Okayama University(Okayama Univ.)
4th Author's Name Kinari Nishiura
4th Author's Affiliation Okayama University(Okayama Univ.)
Date 2022-03-07
Paper # SS2021-52
Volume (vol) vol.121
Number (no) SS-416
Page pp.pp.60-65(SS),
#Pages 6
Date of Issue 2022-02-28 (SS)