An empirical study of factors affecting cross-project aging-related bug prediction with TLAP

Qin, FY; Wan, XH; Yin, BB

Qin, FY (reprint author), Beihang Univ, State Key Lab Software Dev Environm, Beijing, Peoples R China.; Qin, FY (reprint author), Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China.

SOFTWARE QUALITY JOURNAL, 0; ():

Abstract

Software aging is a phenomenon in which long-running software systems show an increasing failure rate and/or progressive performance degradation. Due ......

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