Is it possible to disregard obsolete requirements? a family of experiments in software effort estimation
Artikel i vetenskaplig tidskrift, 2021

Expert judgement is a common method for software effort estimations in practice today. Estimators are often shown extra obsolete requirements together with the real ones to be implemented. Only one previous study has been conducted on if such practices bias the estimations. We conducted six experiments with both students and practitioners to study, and quantify, the effects of obsolete requirements on software estimation. By conducting a family of six experiments using both students and practitioners as research subjects (N= 461), and by using a Bayesian Data Analysis approach, we investigated different aspects of this effect. We also argue for, and show an example of, how we by using a Bayesian approach can be more confident in our results and enable further studies with small sample sizes. We found that the presence of obsolete requirements triggered an overestimation in effort across all experiments. The effect, however, was smaller in a field setting compared to using students as subjects. Still, the over-estimations triggered by the obsolete requirements were systematically around twice the percentage of the included obsolete ones, but with a large 95% credible interval. The results have implications for both research and practice in that the found systematic error should be accounted for in both studies on software estimation and, maybe more importantly, in estimation practices to avoid over-estimations due to this systematic error. We partly explain this error to be stemming from the cognitive bias of anchoring-and-adjustment, i.e. the obsolete requirements anchored a much larger software. However, further studies are needed in order to accurately predict this effect.

Software effort estimation

Family of experiments

Expert judgement

Systematic error

Författare

Lucas Gren

Chalmers, Data- och informationsteknik, Software Engineering, Software Engineering for Testing, Requirements, Innovation and Psychology

Göteborgs universitet

Blekinge Tekniska Högskola, BTH

Richard Berntsson Svensson

Chalmers, Data- och informationsteknik, Software Engineering, Software Engineering for Testing, Requirements, Innovation and Psychology

Requirements Engineering

0947-3602 (ISSN) 1432-010X (eISSN)

Vol. In Press

Ämneskategorier

Programvaruteknik

Sannolikhetsteori och statistik

Medicinsk bildbehandling

DOI

10.1007/s00766-021-00351-7

Mer information

Senast uppdaterat

2021-05-07