It takes the average reader 4 hours and 44 minutes to read Software Effort Estimation with Well-Founded Causal Models by Adam Trendowicz
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Effort estimation is a key factor for software project success, defined as delivering software of agreed quality and functionality within schedule and budget. Traditionally, effort estimation has been used for planning and tracking project resources. Effort estimation methods that grew upon those objectives focus on providing exact estimates and usually do not support systematic and reliable analysis of the causal effort dependencies. Moreover, existing estimation methods are typically based either on large data sets or on the extensive involvement of domain experts (human expertise), which, in practice, significantly reduces their applicability in software industry. In order to handle those problems the thesis proposes a WelCoMe method that that integrates data analysis and human judgment to extracting context-specific causal effort dependencies. When applied in the context of two industrial companies WelCoMe contributed to 17% reduction in cost of building an effort model and 50% reduction in complexity of a resulting model, while increasing its predictive performance by 43%-56%. Moreover, proposed estimation method allowed identifying crucial improvement potentials with respect to organizational measurement processes that had not been identified by domain experts.
Software Effort Estimation with Well-Founded Causal Models by Adam Trendowicz is 282 pages long, and a total of 71,064 words.
This makes it 95% the length of the average book. It also has 87% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 28 minutes to read Software Effort Estimation with Well-Founded Causal Models aloud.
Software Effort Estimation with Well-Founded Causal Models is suitable for students ages 12 and up.
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