Matches in SemOpenAlex for { <https://semopenalex.org/work/W79742844> ?p ?o ?g. }
- W79742844 endingPage "33" @default.
- W79742844 startingPage "18" @default.
- W79742844 abstract "A cornerstone of software project management is effort estimation, the process by which effort is forecasted and used as basis to predict costs and allocate resources effectively, so enabling projects to be delivered on time and within budget. Effort estimation is a very complex domain where the relationship between factors is non-deterministic and has an inherently uncertain nature, and where corresponding decisions and predictions require reasoning with uncertainty. Most studies in this field, however, have to date investigated ways to improve software effort estimation by proposing and comparing techniques to build effort prediction models where such models are built solely from data on past software projects - data-driven models. The drawback with such approach is threefold: first, it ignores the explicit inclusion of uncertainty, which is inherent to the effort estimation domain, into such models; second, it ignores the explicit representation of causal relationships between factors; third, it relies solely on the variables being part of the dataset used for model building, under the assumption that those variables represent the fundamental factors within the context of software effort prediction. Recently, as part of a New Zealand and later on Brazilian government-funded projects, we investigated the use of an expert-centred approach in combination with a technique that enables the explicit inclusion of uncertainty and causal relationships as means to improve software effort estimation. This paper will first provide an overview of the effort estimation process, followed by the discussion of how an expert-centred approach to improving such process can be advantageous to software companies. In addition, we also detail our experience building and validating six different expert-based effort estimation models for ICT companies in New Zealand and Brazil. Post-mortem interviews with the participating companies showed that they found the entire process extremely beneficial and worthwhile, and that all the models created remained in use by those companies. Finally, the methodology focus of this paper, which focuses on expert knowledge elicitation and participation, can be employed not only to improve a software effort estimation process, but also to improve other project management-related activities." @default.
- W79742844 created "2016-06-24" @default.
- W79742844 creator A5085558039 @default.
- W79742844 date "2012-01-01" @default.
- W79742844 modified "2023-10-16" @default.
- W79742844 title "Improving Software Effort Estimation Using an Expert-Centred Approach" @default.
- W79742844 cites W1577577882 @default.
- W79742844 cites W1986033379 @default.
- W79742844 cites W1997406557 @default.
- W79742844 cites W2000776756 @default.
- W79742844 cites W2003896859 @default.
- W79742844 cites W2042378547 @default.
- W79742844 cites W2096242147 @default.
- W79742844 cites W2115646091 @default.
- W79742844 cites W2116447011 @default.
- W79742844 cites W2120612000 @default.
- W79742844 cites W2166844999 @default.
- W79742844 cites W2396199880 @default.
- W79742844 cites W2535897888 @default.
- W79742844 cites W3139645615 @default.
- W79742844 cites W3143822685 @default.
- W79742844 cites W4237213195 @default.
- W79742844 cites W4243785765 @default.
- W79742844 cites W66610085 @default.
- W79742844 doi "https://doi.org/10.1007/978-3-642-34347-6_2" @default.
- W79742844 hasPublicationYear "2012" @default.
- W79742844 type Work @default.
- W79742844 sameAs 79742844 @default.
- W79742844 citedByCount "3" @default.
- W79742844 countsByYear W797428442019 @default.
- W79742844 countsByYear W797428442020 @default.
- W79742844 crossrefType "book-chapter" @default.
- W79742844 hasAuthorship W79742844A5085558039 @default.
- W79742844 hasBestOaLocation W797428441 @default.
- W79742844 hasConcept C111919701 @default.
- W79742844 hasConcept C112930515 @default.
- W79742844 hasConcept C119857082 @default.
- W79742844 hasConcept C124101348 @default.
- W79742844 hasConcept C127413603 @default.
- W79742844 hasConcept C134306372 @default.
- W79742844 hasConcept C13736549 @default.
- W79742844 hasConcept C151730666 @default.
- W79742844 hasConcept C17744445 @default.
- W79742844 hasConcept C180152950 @default.
- W79742844 hasConcept C199360897 @default.
- W79742844 hasConcept C199539241 @default.
- W79742844 hasConcept C201995342 @default.
- W79742844 hasConcept C202444582 @default.
- W79742844 hasConcept C2522767166 @default.
- W79742844 hasConcept C2776359362 @default.
- W79742844 hasConcept C2777904410 @default.
- W79742844 hasConcept C2779343474 @default.
- W79742844 hasConcept C33923547 @default.
- W79742844 hasConcept C36503486 @default.
- W79742844 hasConcept C41008148 @default.
- W79742844 hasConcept C529173508 @default.
- W79742844 hasConcept C539667460 @default.
- W79742844 hasConcept C71924100 @default.
- W79742844 hasConcept C86803240 @default.
- W79742844 hasConcept C94625758 @default.
- W79742844 hasConcept C96250715 @default.
- W79742844 hasConcept C9652623 @default.
- W79742844 hasConcept C98045186 @default.
- W79742844 hasConceptScore W79742844C111919701 @default.
- W79742844 hasConceptScore W79742844C112930515 @default.
- W79742844 hasConceptScore W79742844C119857082 @default.
- W79742844 hasConceptScore W79742844C124101348 @default.
- W79742844 hasConceptScore W79742844C127413603 @default.
- W79742844 hasConceptScore W79742844C134306372 @default.
- W79742844 hasConceptScore W79742844C13736549 @default.
- W79742844 hasConceptScore W79742844C151730666 @default.
- W79742844 hasConceptScore W79742844C17744445 @default.
- W79742844 hasConceptScore W79742844C180152950 @default.
- W79742844 hasConceptScore W79742844C199360897 @default.
- W79742844 hasConceptScore W79742844C199539241 @default.
- W79742844 hasConceptScore W79742844C201995342 @default.
- W79742844 hasConceptScore W79742844C202444582 @default.
- W79742844 hasConceptScore W79742844C2522767166 @default.
- W79742844 hasConceptScore W79742844C2776359362 @default.
- W79742844 hasConceptScore W79742844C2777904410 @default.
- W79742844 hasConceptScore W79742844C2779343474 @default.
- W79742844 hasConceptScore W79742844C33923547 @default.
- W79742844 hasConceptScore W79742844C36503486 @default.
- W79742844 hasConceptScore W79742844C41008148 @default.
- W79742844 hasConceptScore W79742844C529173508 @default.
- W79742844 hasConceptScore W79742844C539667460 @default.
- W79742844 hasConceptScore W79742844C71924100 @default.
- W79742844 hasConceptScore W79742844C86803240 @default.
- W79742844 hasConceptScore W79742844C94625758 @default.
- W79742844 hasConceptScore W79742844C96250715 @default.
- W79742844 hasConceptScore W79742844C9652623 @default.
- W79742844 hasConceptScore W79742844C98045186 @default.
- W79742844 hasLocation W797428441 @default.
- W79742844 hasOpenAccess W79742844 @default.
- W79742844 hasPrimaryLocation W797428441 @default.
- W79742844 hasRelatedWork W1511485340 @default.
- W79742844 hasRelatedWork W1553881574 @default.
- W79742844 hasRelatedWork W2034731048 @default.