Evaluating cross-organizational ERP requirements engineering practices: a focus group study

This focus group study presents our first validation of practices for engineering the coordination requirements in cross-organizational Enterprise Resource Planning (ERP) projects. The study evaluates 13 practices addressing a variety of coordination aspects crucial to ERP projects. These practices are results in previously published research publications by the first author. The practices are formulated in response to practitioners' needs at ERP adopting organizations. The proposed practices have now reached the stage where we need some independent feedback as to the extent to which they fit the realities of practitioners. We perform this validation by means of a qualitative research approach, namely the focus group method. Current software engineering literature provides few examples of using focus groups in the evaluation of good software development practices. Because of this, providing reflections on our focus-group-based validation experiences will be of value to both the research community and practitioners

Teaching Qualitative Analysis Using QSR NVivo

This paper describes new opportunities for teaching qualitative research methods to undergraduates using software as a tool. The author recounts her own experiences and challenges using one such program, QSR NVivo. The account includes students\u27 reflections on how technology advances the analysis process. Strengths and weaknesses of the software and presented and discussed

Video analysis : A qualitative tool for investigating students' learning in a constructivist-oriented multimedia in a science classroom

A new software package VideoSearch, a Macintosh multimedia research tool for analysing digital video was used to analyse classroom observations. VideoSearch can digitise video from a video cassette recorder or video camera and store it on a computer as a QuickTime movie. Texts can be attached to each instance within an episode and this text can be searched. Episodes in this movie can then be coded for analysis by means of user defined categories. Analyses of three types of episodes from video segments are presented and discussed in order to investigate students' learning. Episodes from video segments include students working in pairs conducting investigations based on an inquiry- based multimedia program, students presenting their experiences of their process of investigation and the researcher probing the students' reflections on their learning during an interview. An advantage of working with the digital video analysis is greater access to fuller context for qualitative data analyses. This allows for a better understanding of the social processes of students' learning. However, the time required and the level of intensive analysis may make it a difficult process to undertake

Transformative Effects of NDIIPP, the Case of the Henry A. Murray Archive

This article comprises reflections on the changes to the Henry A. Murray Research Archive, catalyzed by involvement with the National Digital Information Infrastructure and Preservation Program (NDIIPP) partnership, and the accompanying introduction of next generation digital library software. Founded in 1976 at Radcliffe, the Henry A. Murray Research Archive is the endowed, permanent repository for quantitative and qualitative research data at the Institute for Quantitative Social Science, in Harvard University. The Murray preserves in perpetuity all types of data of interest to the research community, including numerical, video, audio, interview notes, and other types. The center is unique among data archives in the United States in the extent of its holdings in quantitative, qualitative, and mixed quantitativequalitative research. The Murray took part in an NDIIPP-funded collaboration with four other archival partners, Data-PASS, for the purpose of the identification and acquisition of data at risk, and the joint development of best practices with respect to shared stewardship, preservation, and exchange of these data. During this time, the Dataverse Network (DVN) software was introduced, facilitating the creation of virtual archives. The combination of institutional collaboration and new technology lead the Murray to re-engineer its entire acquisition process; completely rewrite its ingest, dissemination, and other licensing agreements; and adopt a new model for ingest, discovery, access, and presentation of its collections. Through the Data-PASS project, the Murray has acquired a number of important data collections. The resulting changes within the Murray have been dramatic, including increasing its overall rate of acquisitions by fourfold; and disseminating acquisitions far more rapidly. Furthermore, the new licensing and processing procedures allow a previously undreamed of level of interoperability and collaboration with partner archives, facilitating integrated discovery and presentation services, and joint stewardship of collections.published or submitted for publicatio

Implementing the institutional data repository IST DataRep

In this report the implementation of the institutional data repository IST DataRep at IST Austria will be covered: Starting with the research phase when requirements for a repository were established, the procedure of choosing a repository-software and its customization based on the results of user-testings will be discussed. Followed by reflections on the marketing strategies in regard of impact, and at the end sharing some experiences of one year operating IST DataRep

Informing Recommended Makerspace Outcomes Through Linguistic Analytics

An after-school maker club collected student reflections on makerspace projects in different formats over two years: private written reflections captured in the 3D GameLab gamification platform and video-recorded reflections posted in the more social FlipGrid platform. Club mentors selected these documentation platforms on the basis of their motivational affordances thought to encourage club members to document their work. Transcribed documentation was analyzed using Linguistic Inquiry Word Count (LIWC) software to generate linguistic profiles for comparison. Differences between written and video-recorded documentation suggest: private, written documentation is more likely to capture evidence of cognitive processing and achievement- or risk-oriented drives, but may be more negative in tone; semi-public, video documentation is more likely to capture evidence of social affiliation-oriented drives and may be more positive in tone. Future research should investigate linguistic impacts given merged approaches of reflective writing for social spaces, or reflective writing in social groups

Architecture design decision maps for software sustainability

In spite of the exciting hype around sustainability, we are very much lacking suitable instruments to design software-intensive systems that are sustainable and enable sustainability goals. To fill this gap, we advocate the treatment of sustainability as a software quality property and defined a software sustainability assessment method that helps to make sustainability-driven design decisions. The method essentially relies on the definition of so-called ``decision maps'', i.e. views aimed at framing the architecture design concerns around the four sustainability dimensions mentioned above - technical, economic, social and environmental sustainability. In this context, this paper presents the notion of decision map. We then use a number of illustrative examples extracted from industrial projects, to summarize our lessons learned and reflections with general observations and future research directions, with the goal to spark a discussion in the research community

Enhancing Students\u27 Perception Of Software Maintainability By Using Collaborative Team-Based Role Play

This research was performed within a software engineering workshop. In addition to standard technical issues, this workshop was designed to enhance students\u27 capabilities related to non-technical knowledge areas, such as critical thinking, interpersonal and team-based skills. An important objective of outlining the importance of software maintainability issues was achieved through team-based collaborative development activities. There were three assignments in which each team had to continue the work designed (or developed) by another team. The main research study objective was to examine the effect of employing this kind of a team-based peer-review on the students\u27 learning process. Data referring to the students\u27 perceptions is presented and analyzed in addition to student reflections on the workshop which demonstrate their expanded understanding of the design and application process

Continuous monitoring of the lunar or Martian subsurface using on-board pattern recognition and neural processing of Rover geophysical data

The ultimate goal is to create an extraterrestrial unmanned system for subsurface mapping and exploration. Neural networks are to be used to recognize anomalies in the profiles that correspond to potentially exploitable subsurface features. The ground penetrating radar (GPR) techniques are likewise identical. Hence, the preliminary research focus on GPR systems will be directly applicable to seismic systems once such systems can be designed for continuous operation. The original GPR profile may be very complex due to electrical behavior of the background, targets, and antennas, much as the seismic record is made complex by multiple reflections, ghosting, and ringing. Because the format of the GPR data is similar to the format of seismic data, seismic processing software may be applied to GPR data to help enhance the data. A neural network may then be trained to more accurately identify anomalies from the processed record than from the original record