A manager’s guide to total quality software design

B, Gong; Yen, David C.; Chou, David C.

doi:10.1108/02635579810213099

Cited by 16 publications

(9 citation statements)

References 8 publications

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“…Using quality management tools in data systems may elicit the same positive effect on the overall information product quality (Dewhurst et al , 1999). In the most part, IT managers have begun to realise that general principles endorsed by TQM may be easily fostered as general management principles themselves in as much as the IT function recognises eventually the holistic entity of TQM (Gong et al 1998). Along these lines a complete model for embedding TQM in IT products has been proposed under the acronym TISIT (Gunasekaran et al , 2006).…”

Section: Brief Reviewing Of Quality Improvement and Robust Design In Itmentioning

confidence: 99%

Quality screening in an information technology process

Besseris

2010

The TQM Journal

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Purpose -The purpose of this paper is to propose a methodology that may aid in assessing information technology (IT) quality characteristic optimisation through the use of simple and robust tools with minimal effort. Design/methodology/approach -Non-linear saturated fractional factorial designs proposed by Taguchi receive robust data processing by the efficient nonparametric test of Jonckheere and Terpstra. Findings -The paper finds that e-mail quality improvement is achieved by collecting data through an unreplicated-saturated L 9 (3 4 ) design. Active influences are attributed to the e-mail volume and the receiving hardware type.Research limitations/implications -The overall efficiency of the method is greatly enhanced due to incorporation of a nonparametric analysis tool that is known to perform effectively when data availability is minimal. The method does not succumb to normality and multi-distributional effects which may easily handicap the decision-making process when derived from other mainstream methods. Practical implications -There are obvious professional and pedagogical aspects in this work aiming at IT quality practitioners offering facilitation towards implementing robust techniques while suppressing quality costs. It is noteworthy that nonparametric data processing improves on the ability to make predictions over Taguchi's regular Design of Experiments (DOE) formulation for small sampling conditions. Originality/value -This method embraces designing efficiency by non-linear orthogonal arrays with multi-level order statistics providing the weaponry to deal with quality optimisation in complex environments such as those in the IT area. The value of this work may be appreciated best by quality managers and engineers engaged in routine quality improvement projects in the area of information systems which also augments the general database of quality-related testing cases.

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Section: Brief Reviewing Of Quality Improvement and Robust Design In Itmentioning

confidence: 99%

Quality screening in an information technology process

Besseris

2010

The TQM Journal

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“…A SDLC includes five stages as shown in Figure 9.2 [17]. Each of these stages with respect to assuring quality is discussed below, separately.…”

Section: A Manager's Guide To Total Quality Software Designmentioning

confidence: 99%

“…Thus it is a quite useful tool to solve the problem of poor systems specification during SDLC. Some of the main advantages of SQFD are establishing better communications among departments and with customers, quan-tifying qualitative customer requirements, fostering better attention to customers' requirements, and reaching features consensus faster [17].…”

Section: Stage I: Requirements Analysismentioning

confidence: 99%

“…More specifically, it basically means that every dollar spent to increase design quality has at least a hundred-fold payoff during the implementation and operation stages [19]. Concurrent engineering is a widely used method to change systems design and also it is a useful method of implementing total quality management [17]. Additional information on concurrent engineering is available in Refs.…”

Section: Stage Ii: Systems Designmentioning

confidence: 99%

“…Software total quality management (TQM) calls for the integration of quality into the total software development process. After the establishment of a quality process into the first two stages of software development cycle, the task of coding becomes much easier [17]. Nonetheless, for document inspections, the method of design and code inspections can be used [22].…”

Section: Stage Iii: Systems Developmentmentioning

confidence: 99%

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Software Quality

Springer Series in Reliability Engineering

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Total Quality Management in Mechanical System Design

Dhillon

2015

Mechanical Engineers' Handbook

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In today's competitive environment, the age‐old belief of many companies that “the customer is always right” has a new twist. In order to survive, companies are focusing their entire organization on customer satisfaction. The approach followed for ensuring customer satisfaction is known as total quality management (TQM). The challenge is to “manage” so that the “total” and the “quality” are experienced in an effective manner. Many factors contribute to the success of the quality consideration in engineering or mechanical design. This chapter presents some of the important aspects of TQM considered useful to mechanical system design. TQM is a useful tool for application during the design phase. It presents some basic and general aspects of TQM under four distinct sections. Three individuals (i.e.,W. E. Deming, J. M. Juran, and P. B. Crosby) have played an instrumental role in the development of TQM.

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A manager’s guide to total quality software design

Cited by 16 publications

References 8 publications

Quality screening in an information technology process

Quality screening in an information technology process

Software Quality

Total Quality Management in Mechanical System Design

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