Informatics Publishing Limited

Ashish K. Sharma , I. C. Mehta , J. R. Sharma , Sangita Sharma

Abstract

Quality Function Deployment (QFD) is a product development process that encompasses a sheer amount of data gathered from customers through several market research techniques like personal interview, focus groups, surveys, video conferencing etc. This massive, unsorted and unstructured data is required to be transformed into a limited number of structured information to represent the actual 'Customer Needs'. However the process is tedious and time consuming and cannot be dealt with manually. In order to address these issues, this paper proposes a futuristic software framework based on an Affinity Process. The paper begins with the topic introduction and outlines the QFD process. The paper then describes the Affinity Process, builds the data structure and then makes an attempt to build the proposed framework using tools Visual Basic (VB) and MSAccess. The proposed framework is developed as a part of QFD software and it is anticipated that when completely developed, it would act as a vital component of QFD software.

Keywords

QFD, Affinity Process, Visual Basic, MS-Access, Software, Customer Needs

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Swati M. Bhatia ¹, Ashish K. Sharma ²

Affiliations
1 Manoharbhai Patel Institute of Engineering and Technology (MIET), IN
2 Manoharbhai Patel Institute of Engineering and Technology (MIET), Dept. of C-Tech, IN

Abstract

Software engineering (SE) is an effective approach of software development. It includes several processes for the development of software. Recent studies have reported that the application of Quality Function Deployment (QFD) in software development can be very beneficial and can provide better results. Traditional QFD uses crisp value and linguistic variable that yields uncertainty and vagueness, due to which results achieved, are imprecise. Thus, QFD is to be integrated with fuzzy so as to provide more accurate results. Fuzzy QFD can prove highly productive in software development. This paper aims to create a data bank in this area so as to meet the referencing needs of researchers and practitioners. To make the study specific, this paper makes an attempt to present the review in well-organized groups classified as SE, QFD, QFD and Software, Fuzzy, Fuzzy and Software and finally Fuzzy QFD (FQFD) and Software. The literature review is based on the data collected from various reference banks, papers and web sources. It is assumed that the paper can serve the needs of researchers for easy references on these topics.

Keywords

Crisp, Fuzzy, Fuzzy QFD (FQFD), Quality Function Deployment (QFD), Software Development, Software Engineering (SE).

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Sangita M. Tabarno ¹, Ashish K. Sharma ², Nilmani Verma ³

Affiliations
1 Manoharbhai Patel Institute of Engineering and Technology (MIET), Dept. of C-Tech, IN
2 Manoharbhai Patel Institute of Engineering and Technology(MIET), Dept. of C-Tech, IN
3 MATS University, Raipur, IN

Abstract

Today computers and the internet have become an integral part of one‟s life. However, with the increasing use of computers and the internet, comes a major problem called computer crime. There has been a considerable increase in computer crime. Digital Forensic is the buzzword for the current era that deals with the acquisition, preservation, and analysis of digital evidences. Operating system is main component of any computer which can be meticulously explored to examine computer crime. This study focuses on the windows operating system only. Windows registry is the cornerstone of windows operating system. Moreover, it acts as potential source for evidential data and thus proves to be a fertile area for crime investigation. However, the process is tedious and time consuming and cannot be dealt with manually. In order to address these issues, this paper proposes a futuristic software framework for analyzing registry of windows based systems. The proposed framework is built using Visual Basic (VB) and Windows Application Programming Interface (APIs). The proposed framework is developed as a part of Digital Forensic Tool for Windows Registry Analysis Software and it is anticipated that when completely developed, it would act as a vital component.

Keywords

API, Operating System, Software Framework, Visual Basic, Windows Registry.

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Ashish K. Sharma ¹, Sangita A. Sharma ¹, Namrata Agrawal ², Sapna Panjwani ²

Affiliations
1 Manoharbhai Patel Institute of Engineering and Technology (MIET), Dept. of C-Tech, IN
2 Manoharbhai Patel Institute of Engineering and Technology (MIET), Dept. of IT, IN

Abstract

Quality Function Deployment (QFD) is an extensive customer driven process that strives for higher quality and better customer satisfaction. QFD uses a set of matrices and involves massive data and thus the companies practising QFD have to use software for the proper management of data. Albeit there are many software available for the purpose but still the dearth of customized QFD software is highly recognized. However, the development of software is a complex task which requires carefully examining several aspects of the process to be automated. Software Engineering (SE) is a systematic and disciplined process widely used to develop software. SE offers a pool of Software Development Life Cycle (SDLC) models to develop software products. A suitable process model acts as an implementation vehicle in the development of software and thus evaluation of a process model from many available is a crucial task as it strongly assists in an efficient software development. In the light of above, this paper aims to evaluate a suitable process model for QFD software application. The paper describes each of these models at length and in the end, it presents the evaluation and justification of process model for QFD software application.

Keywords

Process Model, Quality Function Deployment (QFD), QFD Software, Software Development Life Cycle (SDLC), Software Engineering (SE).

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Shivani K. Purohit ¹, Ashish K. Sharma ²

Affiliations
1 Manoharbhai Patel Institute of Engineering and Technology (MIET), IN
2 Dept. of C-Tech, Manoharbhai Patel Institute of Engineering and Technology (MIET), IN

Abstract

Quality function Deployment (QFD) is a most promising customer driven planning tool that plays very crucial role in product development. Customer Requirements (CRs) are the heart of QFD. In today's rapid changing world, CRs are also dynamic in nature. Hence it would be beneficial for the company to know these beforehand. Thus, forecasting of CRs is highly recognized in QFD. There are several techniques of forecasting that can be applied to QFD. Data Mining [DM] is one of them. This paper aims to create a data bank to facilitate the referencing needs of researchers and practitioners in this area. To this end, this paper presents the literature review pertaining to this topic. The  literature  review  is  based  on  the  data  collected  from  various  research  papers,  tools  and  web sources. The data has been presented in the form of categorical fields such as QFD, QFD and Forecasting, Data Mining, Data Mining and forecasting etc. The category Data Mining is further classified into its application areas such as stock, finance, manufacturing etc., which will strongly assist in easy referencing to the researchers.

Keywords

Data Mining (DM), Forecasting, Knowledge Discovery, Quality Function Deployment (QFD), Review, Time Series.

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