Survey design has a significant impact on respondent engagement and data quality. A study examined the effect of survey complexity on 1,500 surveys and 800,000 responses. It found that more complex surveys with more questions and answer matrices led to lower respondent engagement scores. This lower engagement resulted in higher abandonment rates, less consistent responses, and lower quality data overall. The study showed that survey design must be optimized to maintain respondent engagement in order to ensure high quality research data.
A report on the methodology for research into knowledge exchange in KEEN projects funded by the European Regional Development Fund and managed by the University of Wolverhampton
USING NLP APPROACH FOR ANALYZING CUSTOMER REVIEWScsandit
The Web considers one of the main sources of customer opinions and reviews which they are represented in two formats; structured data (numeric ratings) and unstructured data (textual comments). Millions of textual comments about goods and services are posted on the web by customers and every day thousands are added, make it a big challenge to read and understand them to make them a useful structured data for customers and decision makers. Sentiment
analysis or Opinion mining is a popular technique for summarizing and analyzing those opinions and reviews. In this paper, we use natural language processing techniques to generate some rules to help us understand customer opinions and reviews (textual comments) written in the Arabic language for the purpose of understanding each one of them and then convert them to a structured data. We use adjectives as a key point to highlight important information in the text then we work around them to tag attributes that describe the subject of the reviews, and we associate them with their values (adjectives).
Controlling informative features for improved accuracy and faster predictions...Damian R. Mingle, MBA
Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly.
For more information:
http://societyofdatascientists.com/controlling-informative-features-for-improved-accuracy-and-faster-predictions-in-omentum-cancer-models/?src=slideshare
A report on the methodology for research into knowledge exchange in KEEN projects funded by the European Regional Development Fund and managed by the University of Wolverhampton
USING NLP APPROACH FOR ANALYZING CUSTOMER REVIEWScsandit
The Web considers one of the main sources of customer opinions and reviews which they are represented in two formats; structured data (numeric ratings) and unstructured data (textual comments). Millions of textual comments about goods and services are posted on the web by customers and every day thousands are added, make it a big challenge to read and understand them to make them a useful structured data for customers and decision makers. Sentiment
analysis or Opinion mining is a popular technique for summarizing and analyzing those opinions and reviews. In this paper, we use natural language processing techniques to generate some rules to help us understand customer opinions and reviews (textual comments) written in the Arabic language for the purpose of understanding each one of them and then convert them to a structured data. We use adjectives as a key point to highlight important information in the text then we work around them to tag attributes that describe the subject of the reviews, and we associate them with their values (adjectives).
Controlling informative features for improved accuracy and faster predictions...Damian R. Mingle, MBA
Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly.
For more information:
http://societyofdatascientists.com/controlling-informative-features-for-improved-accuracy-and-faster-predictions-in-omentum-cancer-models/?src=slideshare
Complete the following assignments using excel and the following tLynellBull52
Complete the following assignments using excel and the following template:
· Assignment – Statement
· Identify Business Problem -
“Define Problem statement [aka Case Analysis Assignment]”
· Analytics Tools and Models used and results
· Interpretation, Discussion, and Analysis of Findings and Results –
Interpretation, Discussion, and Analysis of outcomes and results of Analytics Tools and Models used
· Tip: Support your Interpretation, Discussion, and Analysis of Results with the numbers you developed in your:
· Analytics Tools and Models used results
· Business Analytics Case Analysis EXCEL model(s) and outcomes and results
· Recommendations
Assignment information:
The worksheet Purchasing Survey in the Performance Lawn Care database provides data related to predicting the level of business (Usage Level) obtained from a third-party survey of purchasing managers of customers Performance Lawn Care.
The seven PLE attributes rated by each respondent are
8 The data and description of this case are based on the HATCO example on pages 28–29 in Joseph F. Hair, Jr., Rolph E. Anderson, Ronald L. Tatham, and William C. Black, Multivariate Analysis, 5th ed. (Upper Saddle River, NJ: Prentice Hall, 1998).
· Delivery speed —the amount of time it takes to deliver the product once an order is confirmed
· Price level —the perceived level of price charged by PLE
· Price flexibility —the perceived willingness of PLE representatives to negotiate price on all types of purchases
· Manufacturing image —the overall image of the manufacturer
· Overall service —the overall level of service necessary for maintaining a satisfactory relationship between PLE and the purchaser
· Sales force image —the overall image of the PLE’s sales force
· Product quality —perceived level of quality
Responses to these seven variables were obtained using a graphic rating scale, where a 10-centimeter line was drawn between endpoints labeled “poor” and “excellent.” Respondents indicated their perceptions using a mark on the line, which was measured from the left endpoint. The result was a scale from 0 to 10 rounded to one decimal place.
Two measures were obtained that reflected the outcomes of the respondent’s purchase relationships with PLE:
· Usage level —how much of the firm’s total product is purchased from PLE, measured on a 100-point scale, ranging from 0% to 100%
· Satisfaction level —how satisfied the purchaser is with past purchases from PLE, measured on the same graphic rating scale as perceptions 1 through 7
The data also include four characteristics of the responding firms:
· Size of firm —size relative to others in this market (0=small;1=large)(0=small;1=large)
· Purchasing structure —the purchasing method used in a particular company (1=centralized procurement,0=dec ...
Data Quality Doesn’t Just Happen: And Here’s What Some of the Industry’s Most...InsightInnovation
Data quality isn’t always the sexiest topic, but it’s critical and one that buyers and suppliers often neglect to have. The ramifications of ignoring it can cost millions of dollars. Some of the industry’s largest buyers and suppliers have found a simple solution though and it’s one that is available to everyone else too. Come here about how the issue of data quality concerns haven’t gone away, and what others are doing to make sure they and their insights are protected.
TitleABC123 Version X1Article Analysis TopicsPSYCH.docxjuliennehar
Title
ABC/123 Version X
1
Article Analysis Topics
PSYCH/660 Version 3
1
University of Phoenix Material
Article Analysis Topics
The Article Analysis Presentation is due in Week Three.
Student
Topic
Allen, J. (2007). A multicultural assessment supervision model to guide research and practice. Professional Psychology: Research and Practice, 38(3), 248-258.
Appelbaum, P. S., & Rosenbaum, A. (1989). Tarasoff and the researcher; Does the duty to protect apply to the research setting? American Psychologist, 44(6), 885-894.
Appelbaum, P. S. (2009). Mental retardation and the death penalty: After Atkins. Psychiatric Services, 60(10), 1295-1297.
Arredondo, P., & Toporek, R. (2004). Multicultural counseling competencies = ethical practice. Journal of Mental Health Counseling, 26(1), 44-55.
Boysen, G. A., & Vogel, D. L. (2008). The relationship between level of training, implicit bias, and multicultural competency among counselor trainees. Training and Education in Professional Psychology, 2(2), 103-110.
Brabender, V. (2006) The ethical group psychotherapist. International Journal of Group Psychotherapy, 56(4), 395-414.
Dailor, A. N., & Jacob, S. (2011). Ethically challenging situations reported by school psychologists: Implications for training. Psychology in the Schools, 48(6), 619-631.
Dugbartey, A. T., & Miller, M. (2009). Review of Boundaries in psychotherapy: Ethical and clinical explorations. Canadian Psychology, 50(1), 42-43.
Gallardo, M. E., Johnson, J., Parham, T. A., & Carter, J. A. (2009). Ethics and multiculturalism: advancing cultural and clinical responsiveness. Professional Psychology: Research and Practice, 40(5), 425-435.
Hess, A. K. (1987). Psychotherapy supervision: Stages, Buber, and a theory of relationship. Professional Psychology: Research and Practice, 18(3), 251-259.
Kalmbach, K. C., & Lyons, P. M. (2006). Ethical issues in conducting forensic evaluations. Applied Psychology in Criminal Justice, 2 (3), 261-290.
Lasky, G. B., & Riva, M. T. (2006). Confidentiality and privileged communications in-group psychotherapy. International Journal of Group Psychotherapy, 56(4), 455-476.
Macvaugh III, G. S., & Cunningham, M. D. (2009). Atkins v. Virginia: Implications and recommendation for forensic practice. Journal of Psychiatry & Law, 37, 131-184.
Pepper, R. S. (2007). Confidentiality and dual relationships in group psychotherapy. International Journal of Group Psychotherapy, 54(1), 103-114.
Razza, N. J., Tomasulo, D. J., & Sobsey, D. (2011). Group psychotherapy for trauma-related disorders in people with intellectual disabilities. Advances in Mental Health and Intellectual Disabilities, 5(5), 40-45
Schank, J. A., & Skovholt, T. M. (1997). Dual-relationship dilemmas of rural and small-community psychologists. Professional Psychology: Research and Practice, 28(1), 44-49.
Vannicelli, M. (2001). Leader dilemmas and countertransference considerations in-group psychotherapy with substance abusers. International Journal ...
Pre-Launch Content Evaluation of an Animated Movie Sanika Deshpande
There is a growth in the broadcasting of local themed and generated show content in the Indian kids' space, resulting in the development and purchase of local content by kid’s genre channels in India. This research is based at understanding the viewing behavior and reaction of target audiences regarding the produced animation content. The results of the analysis will be used as a ‘piece of evidence’ for the guarantee of success of show for broadcasters.
Qualitative Research Evaluation Essay
Essay on Types Of Research
Mba
Sampling Methods Essay
Sample Methodology Essay
Research Methodology Report Sample
Essay on Research Methodology
English 101 Research Paper
Example Of Search Strategy
Essay on Medical Research
Research Methods Essay
Importance And Purpose Of Research Essay
Sample Research Proposal on Methodology
Example Of A Research Paper
Career Research Essay
Methodology of Research Essay examples
Essay about Sampling
Research Critique Essay example
The Influence of Participant Personality in Usability TestsCSCJournals
This paper presents the results of a study investigating the impact of participant personality on usability testing. Data were collected from 20 individuals who participated in a series of usability tests. The participants were grouped into 10 introverts and 10 extroverts, and were asked to complete a set of four experimental tasks related to the usability of an academic website. The results of the study revealed that extroverts were more successful than introverts in terms of finding information as well as discovering usability problems, although the types of problems found by both groups were mostly minor. It was also found that extroverts spent more time on tasks but made more mistakes than introverts. From these findings, it is evident that personality dimensions have significant impacts on usability testing outcomes, and thus should be taken into consideration as a key factor of usability testing.
Ethnography in Software Design *UPDATED for Big Design 2015*Kelly Moran
An updated, refreshed version of the talk I gave in Poland, this is the 2015 Big Design slide deck of "Ethnography in Software Design: An Anthropologist's Point of View."
MODULARISM: THE MODES OF THE PROVISIONING OF SPECIFICITY-SURVEYS IN A COMPAR...Terence Morris
MODULAR IDEOLOGY EVOLVES INTELLECTUALLY AS PUBLIC-POLICY PROCESSES BEGIN TO AFFECT STIMULATED ATTITUDINAL CHANGES UNILATERALLY WHILE EMERGING IN PRIVATE-SECTOR ECONOMIES, BECAUSE OF THE NEED TO COMPETE FOR CONTENT PURCHASERS ASSET ALLOCATION DECISIONS. ALONG WITH ASSET ALLOCATION DECISIONS, “SPECIFICITY-SURVEY” SYSTEMS THEORY RECOGNIZES BOTH EXTERNAL AND INTERNAL INFLUENCES ON ORGANIZATIONAL BEHAVIOR. EXTERNAL FACTORS THAT INFLUENCE THE ORGANIZATION INCLUDE WORLD FINANCIAL CONDITIONS, GLOBAL COMPETITION FOR PRODUCTS AND SERVICES, AND POLITICAL AND GOVERNMENTAL REGULATIONS (BURKE, 1994).
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Complete the following assignments using excel and the following tLynellBull52
Complete the following assignments using excel and the following template:
· Assignment – Statement
· Identify Business Problem -
“Define Problem statement [aka Case Analysis Assignment]”
· Analytics Tools and Models used and results
· Interpretation, Discussion, and Analysis of Findings and Results –
Interpretation, Discussion, and Analysis of outcomes and results of Analytics Tools and Models used
· Tip: Support your Interpretation, Discussion, and Analysis of Results with the numbers you developed in your:
· Analytics Tools and Models used results
· Business Analytics Case Analysis EXCEL model(s) and outcomes and results
· Recommendations
Assignment information:
The worksheet Purchasing Survey in the Performance Lawn Care database provides data related to predicting the level of business (Usage Level) obtained from a third-party survey of purchasing managers of customers Performance Lawn Care.
The seven PLE attributes rated by each respondent are
8 The data and description of this case are based on the HATCO example on pages 28–29 in Joseph F. Hair, Jr., Rolph E. Anderson, Ronald L. Tatham, and William C. Black, Multivariate Analysis, 5th ed. (Upper Saddle River, NJ: Prentice Hall, 1998).
· Delivery speed —the amount of time it takes to deliver the product once an order is confirmed
· Price level —the perceived level of price charged by PLE
· Price flexibility —the perceived willingness of PLE representatives to negotiate price on all types of purchases
· Manufacturing image —the overall image of the manufacturer
· Overall service —the overall level of service necessary for maintaining a satisfactory relationship between PLE and the purchaser
· Sales force image —the overall image of the PLE’s sales force
· Product quality —perceived level of quality
Responses to these seven variables were obtained using a graphic rating scale, where a 10-centimeter line was drawn between endpoints labeled “poor” and “excellent.” Respondents indicated their perceptions using a mark on the line, which was measured from the left endpoint. The result was a scale from 0 to 10 rounded to one decimal place.
Two measures were obtained that reflected the outcomes of the respondent’s purchase relationships with PLE:
· Usage level —how much of the firm’s total product is purchased from PLE, measured on a 100-point scale, ranging from 0% to 100%
· Satisfaction level —how satisfied the purchaser is with past purchases from PLE, measured on the same graphic rating scale as perceptions 1 through 7
The data also include four characteristics of the responding firms:
· Size of firm —size relative to others in this market (0=small;1=large)(0=small;1=large)
· Purchasing structure —the purchasing method used in a particular company (1=centralized procurement,0=dec ...
Data Quality Doesn’t Just Happen: And Here’s What Some of the Industry’s Most...InsightInnovation
Data quality isn’t always the sexiest topic, but it’s critical and one that buyers and suppliers often neglect to have. The ramifications of ignoring it can cost millions of dollars. Some of the industry’s largest buyers and suppliers have found a simple solution though and it’s one that is available to everyone else too. Come here about how the issue of data quality concerns haven’t gone away, and what others are doing to make sure they and their insights are protected.
TitleABC123 Version X1Article Analysis TopicsPSYCH.docxjuliennehar
Title
ABC/123 Version X
1
Article Analysis Topics
PSYCH/660 Version 3
1
University of Phoenix Material
Article Analysis Topics
The Article Analysis Presentation is due in Week Three.
Student
Topic
Allen, J. (2007). A multicultural assessment supervision model to guide research and practice. Professional Psychology: Research and Practice, 38(3), 248-258.
Appelbaum, P. S., & Rosenbaum, A. (1989). Tarasoff and the researcher; Does the duty to protect apply to the research setting? American Psychologist, 44(6), 885-894.
Appelbaum, P. S. (2009). Mental retardation and the death penalty: After Atkins. Psychiatric Services, 60(10), 1295-1297.
Arredondo, P., & Toporek, R. (2004). Multicultural counseling competencies = ethical practice. Journal of Mental Health Counseling, 26(1), 44-55.
Boysen, G. A., & Vogel, D. L. (2008). The relationship between level of training, implicit bias, and multicultural competency among counselor trainees. Training and Education in Professional Psychology, 2(2), 103-110.
Brabender, V. (2006) The ethical group psychotherapist. International Journal of Group Psychotherapy, 56(4), 395-414.
Dailor, A. N., & Jacob, S. (2011). Ethically challenging situations reported by school psychologists: Implications for training. Psychology in the Schools, 48(6), 619-631.
Dugbartey, A. T., & Miller, M. (2009). Review of Boundaries in psychotherapy: Ethical and clinical explorations. Canadian Psychology, 50(1), 42-43.
Gallardo, M. E., Johnson, J., Parham, T. A., & Carter, J. A. (2009). Ethics and multiculturalism: advancing cultural and clinical responsiveness. Professional Psychology: Research and Practice, 40(5), 425-435.
Hess, A. K. (1987). Psychotherapy supervision: Stages, Buber, and a theory of relationship. Professional Psychology: Research and Practice, 18(3), 251-259.
Kalmbach, K. C., & Lyons, P. M. (2006). Ethical issues in conducting forensic evaluations. Applied Psychology in Criminal Justice, 2 (3), 261-290.
Lasky, G. B., & Riva, M. T. (2006). Confidentiality and privileged communications in-group psychotherapy. International Journal of Group Psychotherapy, 56(4), 455-476.
Macvaugh III, G. S., & Cunningham, M. D. (2009). Atkins v. Virginia: Implications and recommendation for forensic practice. Journal of Psychiatry & Law, 37, 131-184.
Pepper, R. S. (2007). Confidentiality and dual relationships in group psychotherapy. International Journal of Group Psychotherapy, 54(1), 103-114.
Razza, N. J., Tomasulo, D. J., & Sobsey, D. (2011). Group psychotherapy for trauma-related disorders in people with intellectual disabilities. Advances in Mental Health and Intellectual Disabilities, 5(5), 40-45
Schank, J. A., & Skovholt, T. M. (1997). Dual-relationship dilemmas of rural and small-community psychologists. Professional Psychology: Research and Practice, 28(1), 44-49.
Vannicelli, M. (2001). Leader dilemmas and countertransference considerations in-group psychotherapy with substance abusers. International Journal ...
Pre-Launch Content Evaluation of an Animated Movie Sanika Deshpande
There is a growth in the broadcasting of local themed and generated show content in the Indian kids' space, resulting in the development and purchase of local content by kid’s genre channels in India. This research is based at understanding the viewing behavior and reaction of target audiences regarding the produced animation content. The results of the analysis will be used as a ‘piece of evidence’ for the guarantee of success of show for broadcasters.
Qualitative Research Evaluation Essay
Essay on Types Of Research
Mba
Sampling Methods Essay
Sample Methodology Essay
Research Methodology Report Sample
Essay on Research Methodology
English 101 Research Paper
Example Of Search Strategy
Essay on Medical Research
Research Methods Essay
Importance And Purpose Of Research Essay
Sample Research Proposal on Methodology
Example Of A Research Paper
Career Research Essay
Methodology of Research Essay examples
Essay about Sampling
Research Critique Essay example
The Influence of Participant Personality in Usability TestsCSCJournals
This paper presents the results of a study investigating the impact of participant personality on usability testing. Data were collected from 20 individuals who participated in a series of usability tests. The participants were grouped into 10 introverts and 10 extroverts, and were asked to complete a set of four experimental tasks related to the usability of an academic website. The results of the study revealed that extroverts were more successful than introverts in terms of finding information as well as discovering usability problems, although the types of problems found by both groups were mostly minor. It was also found that extroverts spent more time on tasks but made more mistakes than introverts. From these findings, it is evident that personality dimensions have significant impacts on usability testing outcomes, and thus should be taken into consideration as a key factor of usability testing.
Ethnography in Software Design *UPDATED for Big Design 2015*Kelly Moran
An updated, refreshed version of the talk I gave in Poland, this is the 2015 Big Design slide deck of "Ethnography in Software Design: An Anthropologist's Point of View."
MODULARISM: THE MODES OF THE PROVISIONING OF SPECIFICITY-SURVEYS IN A COMPAR...Terence Morris
MODULAR IDEOLOGY EVOLVES INTELLECTUALLY AS PUBLIC-POLICY PROCESSES BEGIN TO AFFECT STIMULATED ATTITUDINAL CHANGES UNILATERALLY WHILE EMERGING IN PRIVATE-SECTOR ECONOMIES, BECAUSE OF THE NEED TO COMPETE FOR CONTENT PURCHASERS ASSET ALLOCATION DECISIONS. ALONG WITH ASSET ALLOCATION DECISIONS, “SPECIFICITY-SURVEY” SYSTEMS THEORY RECOGNIZES BOTH EXTERNAL AND INTERNAL INFLUENCES ON ORGANIZATIONAL BEHAVIOR. EXTERNAL FACTORS THAT INFLUENCE THE ORGANIZATION INCLUDE WORLD FINANCIAL CONDITIONS, GLOBAL COMPETITION FOR PRODUCTS AND SERVICES, AND POLITICAL AND GOVERNMENTAL REGULATIONS (BURKE, 1994).
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
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2. has collected SurveyScore data for Table 1: Survey Complexity (High to Low Engagement)
more than 10,000 surveys, with over Moderate Complexity Medium Complexity High Complexity
2.6 million completes. These surveys Design Attributes
SurveyScore = 35 SurveyScore = 9 SurveyScore = 4
span product categories (such as food Survey length (min) 9 16 17
and beverage, financial, technology,
Total survey pages 38 39 43
entertainment, health and beauty,
health care and travel) and research Total number of questions 40 41 45
methods (such as concept screening, Avg. number of rows/matrix 4 13 13
line and package optimization, and Avg. number of columns/matrix 5 6 6
attitude and usage studies). Total number of matrix questions 8 8 8
Our team sought to determine
whether certain survey design vari- or partial rates. While survey length MarketTools fielded three surveys
ables could reliably predict the proved to be generally predictive of with varying levels of complexity,
composite engagement measure of most respondent engagement mea- categorized as moderate, medium and
respondent behavior and percep- sures, there was wide variation in high. We analyzed 1,000 completes
tion that comprises TrueSample the design variables that were most for each survey. The experimental
SurveyScore. We built a model to influential in driving various mea- surveys had the same series of ques-
predict engagement using survey sures of engagement. For example, tions about demographics, products
design variables and the TrueSample for the survey rating measure, one of purchased, etc., but differed based on
SurveyScore database as inputs. the most predictive design variables the number of products respondents
Predictability is an indication that was the elapsed time per page of the said they purchased. The level of
ic ly
survey design impacts engagement survey. For the speeding measure, complexity increased as more prod-
in a consistent way, implying that however, elapsed time per page was ucts were chosen and more brand
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we could recommend adjustments to not even in the top five most impor- attribute questions were displayed. In
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the design variables that would mini- tant design variables. the moderate category, respondents
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mize adverse effects on engagement. Thus, adjusting just one parameter were asked one question per product.
Specifically, we modeled the impact may not be sufficient to elicit desir- In the medium-complexity category,
of more than 20 survey design vari- able behavior from respondents, nor respondents received 17 brand attri-
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ables (independent variables) that are will it singlehandedly improve their bute questions per product. In the
within the control of survey design- perception of the survey-taking expe- high-complexity category, respon-
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ers - such as survey length, and total rience. Instead, the findings reveal that dents were asked 17 questions for
word count - on several respondent engagement is driven by a complex every product chosen, plus additional
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engagement measures (dependent interaction among design variables. open-ended questions.
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variables) reflecting the respondents’ This means that simple survey We computed and compared the
perception of the survey and behavior design guidelines or rules are inad- SurveyScore for the three surveys.
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during the survey. equate for motivating the desired Predictably, it dropped precipitously
respondent engagement. There is no with the higher complexity levels.
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Clear indication axiom that applies in all cases, such The medium- and high-complexity
The research revealed that a multivar- as, “Surveys that require more than surveys received an extremely low
D
iate model that captures the complex 20 minutes result in poor respondent score, as shown in Table 1.
interaction among design variables is engagement.” In fact, our researchers Next, we conducted a series
able to predict overall engagement, uncovered several examples of long of statistical tests to evaluate the
comprised of both experiential and surveys that had a higher-than-normal effect of respondent engagement
behavioral variables. The fact that the survey rating as well as a lower-than- on data quality. By conducting dif-
impact of these variables is predictable normal partial rate, which would run ferent analyses, we were able to
provides a clear indication that survey contrary to what one would expect if examine data quality from various
design directly influences respon- length alone were a deciding variable. angles for a more comprehensive
dent perception and behavior, i.e., Conversely, we found examples of review. Specifically, we investigated
engagement, in a consistent way. This short surveys that had a lower-than- the following.
means that survey designers do have normal survey rating because of the Will unengaging surveys:
some degree of control in improving design of other variables.
engagement. This also means that the • Increase the odds of sample bias?
SurveyScore can be predicted prior An effect on quality • Make respondents more apt to
to deploying a survey to help guide With the impact of survey design answer the same question incon-
design modifications. on respondent engagement estab- sistently?
We uncovered another inter- lished, the research team endeavored • Make respondents more prone to
esting finding when we examined to determine whether engagement random answer choices?
the influence of particular survey had an effect on data quality. The • Make respondents more likely
design elements on specific aspects TrueSample SurveyScore database to provide inconsistent answer
of engagement, such as survey rating allowed us to test this hypothesis. choices?
To purchase paper reprints of this article, contact Edward Kane at FosteReprints at 866-879-9144 x131 or edk@fosterprinting.com.
4. by removing bad respondents and
designing surveys that keep good
respondents engaged. Research pro-
fessionals now have evidence that
survey design not only influences
whether respondents abandon a
survey but also impacts the data for
those who complete it.
The ability to predict the effect
of various survey design variables on
respondent engagement will help
survey designers maximize engage-
ment to increase the reliability of
their data. Researchers no longer
have to assume that a long survey will
jeopardize the quality of the results,
since we have shown that it is pos-
opposed to one of the available prod- of selecting a lower unit price over sible to compensate for the adverse
ucts. Once we removed the “none” a higher one. The net result: surveys effects of certain design variables by
option from our model, the predic- with a low SurveyScore translated adjusting others. By using engage-
tion accuracy dropped significantly to lower predictability and thus to ment measurement and prediction
ic ly
for the high-complexity survey. In lower data quality. tools, researchers can know that
addition, the lower-scoring surveys survey design affects data quality, can
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had more violations in price selec- Take responsibility measure engagement to help improve
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tion order, meaning the respondents Our conclusion? Researchers must survey design and optimize design to
enhance the reliability of results. | Q
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tended to violate the expected order take responsibility for data quality
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