A software process engineering approach to understanding software productivity and team personality characteristics: An empirical investigation
Başlık çevirisi mevcut değil.
- Tez No: 400484
- Danışmanlar: DR. RORY V. O'CONNOR
- Tez Türü: Doktora
- Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2013
- Dil: İngilizce
- Üniversite: Dublın Cıty Unıversıty (ollscoıl Chathaır Bhaıle Atha Clıath)
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
.
Özet (Çeviri)
Despite the signi cant e ort in managing the complexities of software development by using several engineering analogies, there is still no comprehensive approach that recognizes software development as a social activity and software productivity in form of an intangible asset gained and maintained by social relations. This study proposes a model in which software productivity improvement is investigated as a function of the factors a ecting productivity, whereas team productivity is considered as a compatibility problem of distinct personality traits that should be situated in an e cient social con guration. The fundamental assumption is that the productivity is a latent construct measurable by a set of indicators and improvable by relating personality traits and team con gurations. The two main contribution of this thesis is to develop an understanding of the factors a ecting software productivity by empirical investigation and to build a personality-pro ling test based on a psychometric scale speci c to software practitioners. To assess the validity of our approach, we conducted a twostep empirical study in an industrial setting: (i) a psychometric survey on 216 software practitioners for measuring the correlations among the factors a ecting productivity, and (ii) a domain speci c game-based personality test on 63 participants for investigating the implications of personality types over the e ective team con gurations. Our ndings indicate that software productivity is positively associated with social productivity and social capital, and can be measured by 21 di erent indicators identi ed from the literature. In addition, social aspects such as team size and individual's characteristics have a signi cant a ect on productive team formations. A strong negative association is observed between social capital and the time practitioners spend in a software company. Evidence suggests that individuals in software teams become more extroverted while the e ective con gurations are still achieved with teams populated by balanced personality traits.
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