International Journal of Information Quality (5 papers in press)
- Auditing Data Streams for Correlated Glitches
by Ji Meng Loh, Tamraparni Dasu
Abstract: Cellular networks carry massive volumes of voice, text and data traffic every second. The networks are monitored constantly to measure network performance, detect traffic congestion, identify anomalies, and to serve other customer service and network support functions. Data collected from mobility networks is used to make many critical decisions. The quality of the information plays an important role in the effectiveness of these decisions. Therefore it is important to ensure that the data collected from cellular networks meet quality standards. In particular, identifying glitches that are correlated can help in isolating root causes and facilitate more efficient problem solving in the network, as well as quicker data repairs.
In this paper, we present a methodology for automated auditing of massive, complex data streams with a focus on correlated glitches, and a case study that illustrates the application of this methodology. The methodology has two main components: a set of logical constraints that embody domain specific information, and statistical methods for identifying correlated glitches to enable automated quantitative cleaning of data. Together, the two components provide a comprehensive yet customizable set of criteria for evaluating information quality as a function of time and network topology.
Keywords: Data quality; correlated glitches; automated detection; stream mining; spatio-temporal analysis; hierarchical data.
- University educated users data quality preferences in web portals
by Carmen Moraga, Mª Ángeles Moraga, Angélica Caro, Rodrigo Romo Muñoz, Coral Calero
Abstract: Web Portals are currently being used on an ever-increasing basis as a source of data to assist in users daily tasks. However, not all Web portals offer data with the same level of quality. It is therefore fundamental to identify which quality characteristics affect the data. Moreover, data quality needs depend on the type of user, and the importance that different users place on each data quality characteristic is therefore different. Bearing this in mind, we first present a data quality model for Web portals which identifies four categories: Intrinsic, Contextual, Representational and Operational. In this paper we focus on studying the Intrinsic and Contextual categories from the perspective of users with University studies. More specifically, we establish the preferences of users with regard to the data quality characteristics studied, and discover whether any differences exist according to their gender and age range.
Keywords: data quality characteristic; web portal; statistical method
- Strategic Alignment of Information Quality Management: Problems and Challenges
by Zbigniew J Gackowski
- A Generic Model for the Specification of Software Reliability Requirements and Measurement of their Functional Size
by Kenza Meridji, Khalid Al-Sarayreh, ahmad Al-Khasawneh
Abstract: Currently, ISO 9126 standards for the software product quality include reliability as one of the quality characteristics for the embedded and real time software products. According to ISO, software reliability requirements can be measured internally and externally. Furthermore, ECSS standards focus on the reliability prediction of components. It allows identifying data sources and respective methods for an application. This paper presents a method for measuring the functional size of the reliability requirements of software product. The proposed method suggests a generic measurement model to locate the functional size of the reliability requirements. This functional size is based on the concepts of the ISO 19761 standard, which allows to measure on the basis of the requirements, whether the software has already been delivered or to be built.
Keywords: Reliability Requirements, Design of Measurement Method, ISO 19761, ISO 9126, ECSS Standards, Standard Etalon.
- Using bug report as a software quality measure: an empirical study
by Liguo Yu, Srini Ramaswamy
Abstract: Bug reporting systems, such as Bugzilla are online tools used in software development and maintenance to store and track the status of a bug report. They are widely used by both open-source software projects and commercial software companies and have become a major source to study software evolution, software project management, and software quality control. In some research studies, the number of bug reports has been used as an indicator of software quality. This paper examines this representation. We investigate whether the number of bug reports of a specific version of a software product is correlated with its quality. Our study is performed on six branches of three open-source software systems. Our results do not support using the number of bug reports as a quality indicator of a specific version of an evolving software product. Instead, the study reveals that the number of bug reports is in some ways correlated with the time duration between product releases. Finally, the paper suggests a future research to study whether accumulated bug reports can be used as a means to represent the quality of a software branch.
Keywords: Software quality; Bug reports; Quality measure; Empirical study.