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13 results for “shared understanding”
The Role of Informal Communication in Building Shared Understanding of Non-Functional Requirements in Remote Continuous Software Engineering
<p><strong>Study Information</strong></p> <p>We conducted an ethnography-informed case study of a remote software organization that adopts CSE practices to explore how the organization builds a shared understanding of NFRs. Our study uses semi-structured interviews with a period of observations to answer the following research questions:</p> <p> </p> <ol> <li> <p>How does a remote software organization that adopts CSE practices reach a shared understanding of NFRs?</p> </li> <li> <p>What are the limitations to the shared understanding of NFRs in a remote software organization that adopts CSE practices?</p> </li> <li> <p>What organizational practices for remote collaboration supported a shared understanding of NFRs?</p> </li> </ol> <p> </p> <p>In our study, we refer to our partner organization as Alpha. We used ethnography-informed methods to study Alpha's practices and processes and how they approach a shared understanding of NFRs in their product development. </p> <p> </p> <p><strong>Data Analysis</strong></p> <p>We performed a qualitative study through semi-structured interviews and observations. We use the open, axial and selective coding approach from grounded theory [1] to create our codebook, which informed the results and discussion of our study. Two independent coders held agreement sessions to discuss the codes, consolidate the codes and calculate the inter-rater reliability using the Cohen Kappa's coefficient for measuring observer agreement for categorical data [2]. </p> <p> </p> <p><strong>Artifact Descriptions</strong></p> <p>Our replication package contains three artifacts:</p> <p>1. Codebook.csv: The codebook contains rows for the list of codes used, including the code name and the description of the codes. The codes are the final set of themes derived during the thematic analysis of the interview responses. For example, 'Gaps in communication' means when interview participants describe miscommunications due to team members making assumptions about a project/process or having unclear expectations for a project.</p> <p>2. kappa-scores.csv: This contains the associated kappa values for each round of inter-rater agreement sessions. For each agreement session, the Cohen Kappa's coefficient was calculated from the number of agreements and disagreements of codes within one or two interview transcripts. The Kappa values represent the level of agreement ranging from 0 to 1, where > 0.6 represents substantial agreement. </p> <p>3. Interview-questions.csv: This contains the interview questions used in the semi-structured interviews. Some of the interview questions varied depending on the interviewee’s role, experience and the flow of the interviews.</p> <p><strong> </strong></p> <p><strong>Usefulness</strong></p> <p>We recognize that the value and usefulness of our replication package are yet-to-be-determined. In the interest of transparency of open science, we published our artifacts. We hope that these artifacts are useful to either replicate our findings or to further analyze them to produce other enlightening results.</p> <p><strong> </strong></p> <p><strong>References</strong></p> <p>1. Rashina Hoda, James Noble, and Stuart Marshall. "Grounded theory for geeks". In: Proceedings of the 18th conference on pattern languages of programs. 2011, pp. 1–17.</p> <p>2. J Richard Landis and Gary G Koch. "The measurement of observer agreement for categorical data". In: biometrics (1977), pp. 159–174.</p> <p><strong> </strong></p> <p> </p>
"It was recorded on Sunday, morning of the 28th of September as some of the slower runners of the Berlin Marathon made it past Torstrasse near my flat. Iwas out to buy some bread for breakfast, but Iusually bring a camera and my Edirol R-1 recorder whenever Igo out. Since Iwas freshly returned to Berlin Iguess Iwas sensitive to the more antiquated sounds which still survive there, like that of the organ grinder. Iam generally interested in how human beings are replacing the presence of Nature with an artificial environment made entirely by human hands (and thus far more understandable, it is hoped). In this new Human Nature, the sounds of Nature are also Human made. Iwrite about these things, but Ialso use the sounds in my videos and my interactive and generative media work, so generally Iam wandering around building up my archive of media documents for use as material in future works." [Baruch/ gottlieb]17 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"It was recorded on Sunday, morning of the 28th of September as some of the slower runners of the Berlin Marathon made it past Torstrasse near my flat. Iwas out to buy some bread for breakfast, but Iusually bring a camera and my Edirol R-1 recorder whenever Igo out. Since Iwas freshly returned to Berlin Iguess Iwas sensitive to the more antiquated sounds which still survive there, like that of the organ grinder. Iam generally interested in how human beings are replacing the presence of Nature with an artificial environment made entirely by human hands (and thus far more understandable, it is hoped). In this new Human Nature, the sounds of Nature are also Human made. Iwrite about these things, but Ialso use the sounds in my videos and my interactive and generative media work, so generally Iam wandering around building up my archive of media documents for use as material in future works." [Baruch/ gottlieb]17
Sharing pollinators and pollen-associated viruses: understanding the diversity of the pollen virome within a co-flowering community
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Supplementary Material - Supporting Shared Understanding in Asynchronous Communication Contexts
<p>Supplementary Material for the paper Supporting Shared Understanding in Asynchronous Communication Contexts.</p> <p> </p> <p>The material contains of a spreadsheet used for the Pathfinder method to measure a groups shared understanding on the topic of future mobility. Keywords for the spreadsheet were based on a vision video published by Hyundai (https://www.youtube.com/watch?v=J_OBgXalGFU).</p> <p>Additionally, we also present the network similarity values obtained for each participant pair for each group. These can be found in the second spreadsheet.</p>
Understanding shared variation in SARS-CoV-2 genomes
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WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Understanding Patient Goals and Preferences to Facilitate Shared Decision Making for Symptomatic Aortic Stenosis
ClinicalTrials.gov study NCT04755426. IPD Sharing: YES. Countries: 1. Publications: 12.
Understanding Shared Psychobiological Pathways
ClinicalTrials.gov study NCT00245219. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Data from: Opportunities for understanding MS mechanisms and progression with MRI using large‐scale data‐sharing and artificial intelligence
<p>This is supplementary material accompanying the paper "Opportunities for understanding MS mechanisms and progression with MRI using large‐scale data‐sharing and artificial intelligence"</p>
Data from: Opportunities for understanding MS mechanisms and progression with MRI using large‐scale data‐sharing and artificial intelligence
Open the record for dataset details and reuse information.
The Lack of Shared Understanding of Non-Functional Requirements in Continuous Software Engineering: Accidental or Essential?
<p>Study Information</p> <p>We conducted a case study of three small organizations scaling up continuous software engineering to further understand and identify factors that contribute to lack of shared understanding of non-functional requirements (NFRs), and its relationship to rework. To conceptualize lack of shared understanding of NFRs we traced it to rework development tasks. Seeking to shed light on the complex relationship between shared understanding, rework, and CSE, our study examined forty-one NFR-related development tasks identified as rework and was driven by the following research questions:</p> <ol> <li>What contributes to lack of shared understanding of NFRs?</li> <li>Which NFRs are most associated with a lack of shared understanding?</li> <li>What amount of a lack of shared understanding of NFRs is accidental versus essential?</li> </ol> <p>To answer our research questions, we conducted a multi-case study using a mixed-methods approach in collaboration with three independent organizations using qualitative and immersive techniques. For this study our organizations are referred to as Alpha, Beta, and Gamma. We performed a preliminary study of each organization to build a context for each organization. We then collected data from project task management repositories and analyzed the tasks to uncover 41 NFR-related software development tasks as rework due to a lack of shared understanding of NFRs.</p> <p>Data Analysis</p> <p>We performed qualitative analysis through focus groups at each organization. We used an open-coding [1] approach to develop a purely inductive codebook, which minimizes a coder's ability to force a bias of any particular hypothesis. In the initial coding phase, a transcript was independently coded by two coders, after which an agreement session was held to discuss the codes, consolidate the codebook, and to calculate Cohen's kappa coefficient (using sklearn.metrics cohen_kappa_score). We continued coding in pairs until our inter-rater reliability met substantial agreement. After which we individually coded the remaining transcripts followed by an expert rater reviewer.</p> <p>This data represents two artifacts from our research in evaluating the complex relationship between shared understanding, non-functional requirements, continuous software engineering, and rework. It includes the resulting thematic synthesis codebook and inter-rater kappa values.</p> <p>Artifact Descriptions</p> <p>Our replication package contains two artifacts:<br> 1. Codebook.csv: The codebook itself contains a row for each code used (48 in total), including the code name, a brief description of the code, which round of coding that code was introduced, the total number of tasks that code appeared in (at least once), the number of tasks that code appeared in for each organization (Alpha, Beta, and Gamma), the total number of occurrences across all tasks, the number of occurrences across across each organization (Alpha, Beta, and Gamma), and the number of occurrences for each task.</p> <p>For example, the code 'BusinessContext' was used when 'Talking about information from the business side of the organization' and appeared in the first transcript we coded (1). The 'BusinessContext' code appeared in 19/41 tasks (10 at Alpha, 8 at Beta, and 1 at Gamma). Furthermore, the 'BusinessContext' code was used a total of 72 times (43 at Alpha, 22 at Beta, and 7 at Gamma). The remaining 41 columns represent the number of occurrences for each task, e.g. it appeared 3 times in task A-2 (Alpha's second task).</p> <p>2. kappa-values.csv: Contains the interview rounds (in order of coding) and the associated kappa values calculated for our inter-rater coding agreement.</p> <p>Usefulness</p> <p>While we recognize that the value and usefulness of our replication package is yet to-be-determined, in the interest of transparency of open science we published our artifacts. In light of this, we hope that these artifacts are useful to either replicate our findings or to further analyze to produce other enlightening results.</p> <p>References</p> <ol> <li>J. M. Corbin and A. Strauss, “Grounded theory research: Procedures, canons, and evaluative criteria,”Qualitative sociology, vol. 13, no. 1,pp. 3–21, 1990.</li> </ol>
Supplementary Material - Turning Asynchronicity into an Opportunity: Asynchronous Communication for Shared Understanding with Vision Videos
<p>Supplementary Material for the paper Turning Asynchronicity into an Opportunity: Asynchronous Communication for Shared Understanding with Vision Videos.</p> <p> </p> <p>The material contains of a spreadsheet used for the Pathfinder method to measure a groups shared understanding on the topic of future mobility. Keywords for the spreadsheet were based on a vision video published by Hyundai (https://www.youtube.com/watch?v=J_OBgXalGFU).</p> <p>Additionally, we also present the network similarity values obtained for each participant pair for each group. These can be found in the second spreadsheet.</p>
Shared Decision Making and How It Impacts the Patient Understanding
ClinicalTrials.gov study NCT04011488. IPD Sharing: NO. Countries: 1. Publications: 0.
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