A Collaborative Approach for Effective Requirement Elicitation in Oblivious Client Environment
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 6
Abstract
Acquiring the desired requirements from customer through requirement elicitation process is a big deal as entire project depends on this initial important activity. Poor requirement elicitation affects software quality. Various factors in the oblivious client environment like culture, linguistic, gender, nationality, race and politics; can affect the final deliverables. The interaction of complex values, attitudes, behavioral norms, beliefs and communication approaches by stakeholders with different values may lead towards misunderstanding and misinterpretation. This could lead towards failure or dissatisfaction of the final outcome which might cause loss to both parties. The project requires redesign or modification that could take extra time and cost to get the desired results. The oblivious nature of the client’s working environment is the major cause of poor requirement elicitation. This study focuses the issues in oblivious client environment where client is reluctant to provide desired information. This work proposes a novel requirement elicitation model for effective software development in oblivious client environment. The quality improvement results of software after using this model were verified using a qualitative survey.
Authors and Affiliations
Muhammad Kashif Hanif, Muhammad Ramzan Talib, Nauman Ul Haq, Arfan Mansoor, Muhammad Umer Sarwar, Nafees Ayub
Keywords
Related Articles
- EP ID EP259585
- DOI 10.14569/IJACSA.2017.080623
- Views 75
- Downloads 0
Performance Evaluation of a Deployed 4G LTE Network
In Ghana and many countries within Sub-Sahara Africa, Long Term Evolution (LTE) is being considered for use within the sectors of Governance, Energy distribution and transmission, Transport, Education and Health. Subscri...
A High-Performing Similarity Measure for Categorical Dataset with SF-Tree Clustering Algorithm
Tasks such as clustering and classification assume the existence of a similarity measure to assess the similarity (or dissimilarity) of a pair of observations or clusters. The key difference between most clustering metho...
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification
Hybrid LSTM-fully convolutional networks (LSTM-FCN) for time series classification have produced state-of-the-art classification results on univariate time series. We empirically show that replacing the LSTM with a gated...
Feature Weight Optimization Mechanism for Email Spam Detection based on Two-step Clustering Algorithm and Logistic Regression Method
This research proposed an improved filtering spam technique for suspected emails, messages based on feature weight and the combination of two-step clustering and logistic regression algorithm. Unique, important features...
Reliable Global Navigation System using Flower Constellation
For many space missions using satellite constellations, symmetry of satellites distribution plays usually a key role. Symmetry may be considered in space and/or in time distribution. Examples of required symmetry in spac...