作者: Wladmir Araujo Chapetta , Guilherme Horta Travassos
DOI: 10.1007/S10664-020-09844-5
关键词: Software development process 、 Process management 、 Productivity 、 Empirical evidence 、 Body of knowledge 、 Empirical research 、 Software 、 Computer science 、 Software development 、 Product (category theory)
摘要: Productivity refers to the rate at which a company produces goods, and its observation takes into account number of people amount other necessary resources deliver such goods. However, it is not clear how observe productivity what influences when product software since most effort spent in development creative human-dependent. Besides, outputs vary from each instance solutions throughout process. To characterize investigate evidence-based factors aiming understanding their influence on productivity. evolve replicate systematic literature review (SLR) measurement prediction methods. Next, use Structured Synthesis Method aggregate describe relationships among correspondingly according results primary studies selected by SLR protocol. The study allowed organizing body knowledge through model obtained empirical evidence comprising 25 33 regarding based technical over last 30 years. It uses taxonomy for describing observations supporting reasoning uncertainty Software Engineering. acquired may represent first try towards well-grounded theoretical framework Based methodically set evidence, proposed intends support practitioners researchers observing, deciding, controlling projects. Additionally, can encourage identify phenomena deserve better explanation further studies.