An Empirical Study on Decision making for Quality Requirements

12/12/2018
by   Thomas Olsson, et al.
0

[Context] Quality requirements are important for product success yet often handled poorly. The problems with scope decision lead to delayed handling and an unbalanced scope. [Objective] This study characterizes the scope decision process to understand influencing factors and properties affecting the scope decision of quality requirements. [Method] We studied one company's scope decision process over a period of five years. We analyzed the decisions artifacts and interviewed experienced engineers involved in the scope decision process. [Results] Features addressing quality aspects explicitly are a minor part (4.41 influence the prevalence and acceptance rate of quality features. Lastly, relying on external stakeholders and upfront analysis seems to lead to long lead-times and an insufficient quality requirements scope. [Conclusions] There is a need to make quality mode explicit in the scope decision process. We propose a scope decision process at a strategic level and a tactical level. The former to address long-term planning and the latter to cater for a speedy process. Furthermore, we believe it is key to balance the stakeholder input with feedback from usage and market in a more direct way than through a long plan-driven process.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/08/2018

QREME - Quality Requirements Management Model for Supporting Decision-Making

[Context and motivation] Quality requirements (QRs) are inherently diffi...
research
05/03/2020

A Multialternative Neural Decision Process

We introduce an algorithmic decision process for multialternative choice...
research
12/21/2020

Data Validation

Data validation is the activity where one decides whether or not a parti...
research
12/17/2021

Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes

Current work on automatic coreference resolution has focused on the Onto...
research
07/04/2023

Analyzing Intentional Behavior in Autonomous Agents under Uncertainty

Principled accountability for autonomous decision-making in uncertain en...
research
01/08/2013

Object-oriented Bayesian networks for a decision support system for antitrust enforcement

We study an economic decision problem where the actors are two firms and...
research
03/04/2022

A DSL for Defining Feature-Level Quality Constraints and the Aggregation of Evaluation Results in DevOps

Quality requirements typically differ among software features, e.g., due...

Please sign up or login with your details

Forgot password? Click here to reset