Data-Driven Application Maintenance: Views from the Trenches

In this paper we present our experience during design, development, and pilot deployments of a data-driven machine learning based application maintenance solution. We implemented a proof of concept to address a spectrum of interrelated problems encountered in application maintenance projects including duplicate incident ticket identification, assignee recommendation, theme mining, and mapping of incidents to business processes. In the context of IT services, these problems are frequently encountered, yet there is a gap in bringing automation and optimization. Despite long-standing research around mining and analysis of software repositories, such research outputs are not adopted well in practice due to the constraints these solutions impose on the users. We discuss need for designing pragmatic solutions with low barriers to adoption and addressing right level of complexity of problems with respect to underlying business constraints and nature of data.Comment: Earlier version of paper appearing in proceedings of the 4th International Workshop on Software Engineering Research and Industrial Practice (SER&IP), IEEE Press, pp. 48-54, 201

DISASTER RESPONSE MODELING BASE ON LANDSLIDE EARLY WARNING USING CASE MANAGEMENT MODEL AND NOTATION

There are a few handling steps in the emergency response to landslides that need thorough explanation. The flexibility of emergency response situations is ineffectively supported by traditional modeling methodologies because they are excessively inflexible. Companies have traditionally modeled their business processes using the Business Process Management Approach and Notation (BPMN) model. For design case management, such as the emergency reaction to a landslide disaster, BPMN modeling is unsuitable. because the BPMN modeling focuses how business processes flow inside a company. The Case Management Model and Notation (CMMN), the newest modeling approach from the Object Management Group (OMG), was launched in 2013 with the purpose of completing the BPMN modeling approach. The unstructured and adaptable CMMN claims to be able to handle urgent situations. This study's intention is to develop a CMMN model of a landslide emergency reaction scenario based on an emergency alert from an Early Warning System (EWS) sensor. In order to acquire the qualitative data for this study, the researcher first conducted a literature review. Then used the interview and observation methods to gather data, and from this data, we created the model using the CMMN modeling approach. The Yogyakarta Special Region Disaster Management Agency's (BPBD DIY) data flow of a disaster management information system, which was already operational, was analyzed by researchers. Then, the researchers used CMMN to model the data in order to find out opportunities to improve the disaster management information system already in use at BPBD DIY. Two CMMN models—the BPBD DIY disaster management information system model and the recommendation model for system improvements—were created in this study. The analysis of the current disaster management information system model resulted in the recomendation of this model. A prototype of feature recommendation is created as part of this research and given to specialists in natural disasters for model validation

Organising haute-cuisine service processes : a case study

One of the essential aims of service process organisation is to increase the added value for the customer, thereby increasing customer satisfaction and stimulating consumption. In a haute-cuisine context, customers typically have a higher degree of uncertainty as they often lack the experience of receiving and judging quality in a haute-cuisine setting. This article reports on the application of service process organisation in a haute-cuisine restaurant. The case study shows that there is a significant need to reduce back office activities so that interaction with the customer or customer-facing processes can be increased. This can increase the added value for the customer and can result in higher profits for the restaurants as the customer is either willing to pay higher prices or to consume more. Routines should be implemented that align with segmentation and customer data, while undergoing a retraditionalisation of the service through know-how and interaction. Only interaction with, and integration of, the customer adds significant value that can be further expanded by providing an atmosphere where customer and co-customer have the chance to interact

Compliance advisory service feasibility study

This report identifies areas or methods of regulatory compliance information and advice to SMEs in the region that are inadequate or deficient. It recommends additional services that will benefit SMEs in the region taking into account the business support simplification agenda, state aid, legal liability, environmental and equality issues

A hierarchy of SPI activities for software SMEs: results from ISO/IEC 12207-based SPI assessments

In an assessment of software process improvement (SPI) in 15 software small- and –medium-sized enterprises (software SMEs), we applied the broad spectrum of software specific and system context processes in ISO/IEC 12207 to the task of examining SPI in practice. Using the data collected in the study, we developed a four-tiered pyramidal hierarchy of SPI for software SMEs, with processes in the higher tiers undergoing SPI in more companies than processes on lower level tiers. The development of the hierarchy of SPI activities for software SMEs can facilitate future evolutions of process maturity reference frameworks, such as ISO/IEC 15504, in better supporting software development in software SMEs. Furthermore, the findings extend our body of knowledge concerning the practice of SPI in software SMEs, a large and vital sector of the software development community that has largely avoided the implementation of established process maturity and software quality management standards

Psychological elements explaining the consumer's adoption and use of a website recommendation system: A theoretical framework proposal

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved. The approach takes the form of theoretical modelling. Findings: A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified. Research limitations/implications: The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research. Practical implications: The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented

Manufacturing advisory service in the East Midlands – historical evaluation

A report on the longitudinal evaluation of the Manufacturing Advisory Service (MAS) covering the period from its establishment in 2005. The evaluation looks at net economic impact and the appropriateness of the design and delivery of the service, in addition to identifying any areas for improvement

Recomendation systems and crowdsourcing: a good wedding for enabling innovation? Results from technology affordances and costraints theory

Recommendation Systems have come a long way since their first appearance in the e-commerce platforms.Since then, evolved Recommendation Systems have been successfully integrated in social networks. Now its time to test their usability and replicate their success in exciting new areas of web -enabled phenomena. One of these is crowdsourcing. Research in the IS field is investigating the need, benefits and challenges of linking the two phenomena. At the moment, empirical works have only highlighted the need to implement these techniques for tasks assignment in crowdsourcing distributed work platforms and the derived benefits for contributors and firms. We review the variety of the tasks that can be crowdsourced through these platforms and theoretically evaluate the efficiency of using RS to recommend a task in creative crowdsourcing platforms. Adopting a Technology Affordances and Constraints Theory, an emerging perspective in the Information Systems (IS) literature to understand technology use and consequences, we anticipate the tensions that this implementation can generate