Quality Requirements Analysis Using Requirements Frames

Abstract

Defining quality requirements completely and correctly is more difficult than defining functional requirements because stakeholders do not state most of quality requirements explicitly. We thus propose a method to measure a requirements specification for identifying the amount of quality requirements in the specification. We also propose another method to recommend quality requirements to be defined in such a specification. We expect stakeholders can identify missing and unnecessary quality requirements when measured quality requirements are different from recommended ones. We use a semi-formal language called X-JRDL to represent requirements specifications because it is suitable for analyzing quality requirements. We applied our methods to a requirements specification, and found our methods contribute to define quality requirements more completely and correctly.

A Method of Verifying Time-Response Requirements

“…In [9], rule-based checking method of NFR is proposed. This method checks whether NFR are specified or not and do not check the characteristics of NFR.…”

Classification and Qualitative Analysis of Non-Functional Requirements Approaches

“…Goal-oriented approaches are proposed to measure the adequacy and quality of NFRs in requirements specification using domain knowledge [86,87], abstract interpretation [88], interrelations of NFRs [89], quantitative size and effort estimation [90,91], goal-centric traceability links between NFRs [92], and reasoning on NFRs in different contexts [93]. Also, some approaches are proposed to evaluate and validate system behaviour conflicts [94], changing requirements during system development [95] and relative priority of NFRs in trade-off analysis [96].…”

“…Aspect-oriented Pattern-based • Spectrum analysis [86] • TCM Framework [87] • Abstract Interpretation-based verification [88] • EMIMCE model [89] • COSMIC-FFP method [90] • Quantitative measure [91] • Goal-centric traceability [92] • Automate verification [93] • Execution-based Model Checking [94] • Goal decomposition [95] • Quantitative priority assessment framework [96] • QR mining framework [97] • NFR Evaluation Model [98] • Bayesian Belief Network [99] • Bayesian Reliability Prediction [100] • Model-based approach [101] • NFR pattern approach [102] • Performance Requirements Framework [103] • Scenario-based assessment [104] …”

Spectrum analysis on quality requirements consideration in software design documents

“…Because quality requirements qualify functional requirements, measuring and predicting quality requirements on the basis of the content of each functional requirement is a natural idea. Kaiya et al developed such an idea by using semi-formal functional requirement notation (Kaiya and Ohnishi 2011 ). They also used a machine learning technique to automate the prediction and measurement (Tanaka et al 2012).…”