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Software evolution and time series volatility: An empirical exploration

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko14th International Workshop on Principles of Software Evolution, IWPSE 2015 - Proceedings
KustantajaInstitute of Electrical and Electronics Engineers Inc.
Sivut56-65
Sivumäärä10
Vuosikerta30-Aug-2015
ISBN (elektroninen)9781450338165
DOI - pysyväislinkit
TilaJulkaistu - 30 elokuuta 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma14th International Workshop on Principles of Software Evolution, IWPSE 2015 - Bergamo, Italia
Kesto: 30 elokuuta 2015 → …

Conference

Conference14th International Workshop on Principles of Software Evolution, IWPSE 2015
MaaItalia
KaupunkiBergamo
Ajanjakso30/08/15 → …

Tiivistelmä

The paper presents the first empirical study to examine econometric time series volatility modeling in the software evolution context. The econometric volatility concept is related to the conditional variance of a time series rather than the conditional mean targeted in conventional regression analysis. The software evolution context is motivated by relating these variance characteristics to the proximity of operating system releases, the theoretical hypothesis being that volatile characteristics increase nearby new milestone releases. The empirical experiment is done with a case study of FreeBSD. The analysis is carried out with 12 time series related to bug tracking, development activity, and communication. A historical period from 1995 to 2011 is covered under a daily sampling frequency. According to the results the time series dataset contains visible volatility characteristics, but these cannot be explained by the time windows around the six observed major FreeBSD releases. The paper consequently contributes to the software evolution research field with new methodological ideas, as well as with both positive and negative empirical results.