Open Access Open Access  Restricted Access Subscription Access

Characterization and Validation of Requirements Management Measures Using Correlation and Regression Model


Affiliations
1 SCSE, VIT University, Vellore, Tamil Nadu, India
2 SCSE, VIT University, Vellore, Tamil nadu, India
 

Requirements engineering is one of the challenging and crucial phase in the development of software products. One of the key reasons found in literature survey the failure of software projects due to poor project management and requirement management activity. This paper mainly addresses 1. Formulate a mixed organization structure of both traditional approaches and agile approaches, to apply KM practices for both the approaches to achieve requirements issues such as missing and inconsistency of requirements and improve the project management activities in a global software development environment. 2. Propose requirements metrics to measure and manage software process during the development of information systems. The major contribution of this paper is well-founded methods to manage the project and effective requirements management metrics to measure changing requirements while giving particular attention to the requirements engineering issues such as completeness and consistency. Two hypotheses have been formulated and tested this problem through statistical techniques and validate the same.

Keywords

Requirements Engineering (RE), Requirements Management (RM), Requirements Metrics, Knowledge Management (KM).
User
Notifications
Font Size

Abstract Views: 374

PDF Views: 157




  • Characterization and Validation of Requirements Management Measures Using Correlation and Regression Model

Abstract Views: 374  |  PDF Views: 157

Authors

S. Arun Kumar
SCSE, VIT University, Vellore, Tamil Nadu, India
T. Arun Kumar
SCSE, VIT University, Vellore, Tamil nadu, India

Abstract


Requirements engineering is one of the challenging and crucial phase in the development of software products. One of the key reasons found in literature survey the failure of software projects due to poor project management and requirement management activity. This paper mainly addresses 1. Formulate a mixed organization structure of both traditional approaches and agile approaches, to apply KM practices for both the approaches to achieve requirements issues such as missing and inconsistency of requirements and improve the project management activities in a global software development environment. 2. Propose requirements metrics to measure and manage software process during the development of information systems. The major contribution of this paper is well-founded methods to manage the project and effective requirements management metrics to measure changing requirements while giving particular attention to the requirements engineering issues such as completeness and consistency. Two hypotheses have been formulated and tested this problem through statistical techniques and validate the same.

Keywords


Requirements Engineering (RE), Requirements Management (RM), Requirements Metrics, Knowledge Management (KM).