scholarly journals A Multistep Approach for Managing the Risks of Software Requirements Volatility

2016 ◽  
Vol 9 (1) ◽  
pp. 101
Author(s):  
Nedhal A. Al-Saiyd
Keyword(s):  
Software Requirements ◽  
Software Project ◽  
Font Size ◽  
Software Usability ◽  
Proposed Model ◽  
Requirements Volatility ◽  
And Control ◽  
Requirement Changes ◽  
The Impact

<p><span style="font-size: 10.5pt; font-family: 'Times New Roman','serif'; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: 宋体; mso-font-kerning: 1.0pt; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">Software is changed continuously in order to respond to different users and business needs. Requirements are changed dynamically to improve software usability and increase its value, but requirement volatility sometimes cause failures for many projects because of inadequate understanding of the changing causes and the consequences of these changes. This research highlights the importance of managing requirement changes, classify them, and control the impact risks of requirement volatility on software project. The proposed model is designed based on software requirements risks factors and how to reduce their impacts. Generally, requirements changing is considered as a difficult, costly and time-consumed task, and consequently it is too important to study the inter-relationships between the changes and their impacts on the other phases of software system. The good understanding of the changing causes and their consequences can improve and support requirements management process and also lead successfully to the predicted goals of changes. The high quality of the requirements influences the success of a software project during software development and maintenance processes.</span></p>

scholarly journals Software Requirements Negotiation: A Review on Challenges

2021 ◽  
Vol 11 (1) ◽  
pp. 1-6
Author(s):  
Shamsu Abdullahi ◽  
Musa Ahmed Zayyad ◽  
Naziru Yusuf ◽  
Lawal Idris Bagiwa ◽  
Amina Nura ◽  
...  
Keyword(s):  
Decision Making ◽  
Conflict Resolution ◽  
Selection Process ◽  
Software Requirements ◽  
Software Project ◽  
Communication Performance ◽  
Study Selection ◽  
Final Study ◽  
Requirement Changes ◽  
Requirements Negotiation

Requirements negotiation involves discussion on the requirements conflict to have some compromise that will satisfy the participating stakeholders of a software project. The output of a requirement negotiation is a set of satisfied requirements of two or more parties. In this paper, we present a systematic review of requirements negotiation challenges. The study adopted 34 papers from the final study selection process which were analyzed based on the requirements negotiation challenges they addressed. The identified challenges are decision-making, communication, performance, managing requirement changes, and conflict resolution. The output of the study indicates that decision-making is addressed by 33% of the studies reviewed, followed by the performance with 22%, conflict resolution  with 19%, while 16% focus on stakeholders’ communication, and managing requirements changes has 10%.

scholarly journals SQoF-WEAR Project. The Use of Wearable Devices to Identify the Impact of Stress on Workers’ Quality of Life

2021 ◽  
Vol 7 (1) ◽  
pp. 25
Author(s):  
Patricia Concheiro-Moscoso ◽  
Betania Groba ◽  
Sílvia Monteiro-Fonseca ◽  
Nereida Canosa ◽  
Cristina Queirós
Keyword(s):  
Quality Of Life ◽  
Public Health Problem ◽  
Wearable Devices ◽  
Assessment Tools ◽  
Self Report ◽  
Major Public Health Problem ◽  
The University ◽  
And Control ◽  
The Impact

(1) Background: Stress is a major public health problem due to its relevant health, social and economic repercussions. Moreover, stress can be associated with work; when stress increases over time, burnout can occur, an occupational phenomenon recognized by the WHO in 2019. There is interest in the use of wearable devices to monitor and control stressors and their influence on the condition of workers. This study aims to identify the level of job stress and its influence on the quality of life of workers. (2) Methods:This longitudinal study was carried out between the end of May and mid-July 2021. Three assessment tools along with a daily and a weekly questionnaire were computerized through the RedCap platform. The participants had to fill out the diary and weekly questionnaires and wear a Xiaomi Mi Band 5 during the project. (3) Results and discussion: Thirty-six workers from the University of Coruña and from the University of Porto participated in the project. This study promotes the awareness of workers regarding their work stress and the influence of this factor on their quality of life using physiological (e.g., activity, sleep, and heart rate) and psychological indicators (self-report questionnaires in different moments).

Impact of AI regulation on intention to use robots

2019 ◽  
Vol 8 (2) ◽  
pp. 97-114
Author(s):  
Sheshadri Chatterjee
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Design Methodology ◽  
Regulatory Control ◽  
Control Beliefs ◽  
Intention To Use ◽  
Content Type ◽  
And Control ◽  
The Impact

Purpose The purpose of this paper is to identify the factors influencing the citizens to use robots that would improve the quality of life of the citizens. Design/methodology/approach With the help of different adoption theories and models and with the support of background studies, some hypotheses have been formulated and a conceptual model has been developed with the consideration of the impact of artificial intelligence regulation (IAR) that controls the use of robots as a moderator. The model has been validated and the hypotheses have been tested by statistical analysis with the help of survey works involving consideration of feedbacks from 503 usable respondents. Findings The study reveals that the use of robots by the citizens would appreciably increase if government imposes strict artificial intelligence (AI) regulatory control concerning the use of robots, and in that case, it appears that the use of robots would improve the quality of life of the citizens. Research limitations/implications The duly validated model would help the authority to appropriately nurse and nurture the factors such as ethical dilemma, perceived risks and control beliefs for enhancing the intention of the citizens to use robots for many purposes including domestic usage in the context of appropriate restrictions imposed through AI regulation. Such use of robots would eventually improve the quality of life. Originality/value There are a few studies covering analysis of IAR as a moderator on the linkages of the predictors with the intention of the citizens to use robots. In this context, this study is claimed to have offered a novel contribution.

scholarly journals Inhaled Anesthetics Promote Albumin Dimerization through Reciprocal Exchange of Subdomains

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Benjamin J. Pieters ◽  
Eugene E. Fibuch ◽  
Joshua D. Eklund ◽  
Norbert W. Seidler
Keyword(s):  
Fluorescence Emission ◽  
Size Exclusion ◽  
Inhaled Anesthetics ◽  
Protein Protein Interaction ◽  
Reciprocal Exchange ◽  
Proposed Model ◽  
Exclusion Chromatography ◽  
Spectral Shifting ◽  
And Control ◽  
The Impact

Inhaled anesthetics affect protein-protein interaction, but the mechanisms underlying these effects are still poorly understood. We examined the impact of sevoflurane and isoflurane on the dimerization of human serum albumin (HSA), a protein with anesthetic binding sites that are well characterized. Intrinsic fluorescence emission was analyzed for spectral shifting and self-quenching, and control first derivatives (spectral responses to changes in HSA concentration) were compared against those obtained from samples treated with sevoflurane or isoflurane. Sevoflurane increased dimer-dependent self-quenching and both decreased oligomer-dependent spectral shifting, suggesting that inhaled anesthetics promoted HSA dimerization. Size exclusion chromatography and polarization data were consistent with these observations. The data support the proposed model of a reciprocal exchange of subdomains to form an HSA dimer. The open-ended exchange of subdomains, which we propose occuring in HSA oligomers, was inhibited by sevoflurane and isoflurane.

scholarly journals Assessment of anxiety and quality of life in fibromyalgia patients

2004 ◽  
Vol 122 (6) ◽  
pp. 252-258 ◽  
Author(s):  
Tathiana Pagano ◽  
Luciana Akemi Matsutani ◽  
Elisabeth Alves Gonçalves Ferreira ◽  
Amélia Pasqual Marques ◽  
Carlos Alberto de Bragança Pereira
Keyword(s):  
Quality Of Life ◽  
Outpatient Service ◽  
Test Group ◽  
Control Group ◽  
Control Groups ◽  
Sf 36 ◽  
Significant Difference ◽  
And Control ◽  
The Impact

CONTEXT: Fibromyalgia is a syndrome characterized by chronic, diffuse musculoskeletal pain, and by a low pain threshold at specific anatomical points. The syndrome is associated with other symptoms such as fatigue, sleep disturbance, morning stiffness and anxiety. Because of its chronic nature, it often has a negative impact on patients' quality of life. OBJECTIVE: To assess the quality of life and anxiety level of patients with fibromyalgia. TYPE Of STUDY: Cross-sectional. SETTING: Rheumatology outpatient service of Hospital das Clínicas (Medical School, Universidade de São Paulo). METHODS: This study evaluated 80 individuals, divided between test and control groups. The test group included 40 women with a confirmed diagnosis of fibromyalgia. The control group was composed of 40 healthy women. Three questionnaires were used: two to assess quality of life (FIQ and SF-36) and one to assess anxiety (STAI). They were applied to the individuals in both groups in a single face-to-face interview. The statistical analysis used Student's t test and Pearson's correlation test (r), with a significance level of 95%. Also, the Pearson chi-squared statistics test for homogeneity, with Yates correction, was used for comparing schooling between test and control groups. RESULTS: There was a statistically significant difference between the groups (p = 0.000), thus indicating that fibromyalgia patients have a worse quality of life and higher levels of anxiety. The correlations between the three questionnaires were high (r = 0.9). DISCUSSION: This study has confirmed the efficacy of FIQ for evaluating the impact of fibromyalgia on the quality of life. SF-36 is less specific than FIQ, although statistically significant values were obtained when analyzed separately, STAI showed lower efficacy for discriminating the test group from the control group. The test group showed worse quality of life than did the control group, which was demonstrated by both FIQ and SF-36. Even though STAI was a less efficient instrument, it presented significant results, showing that fibromyalgia patients presented higher levels of anxiety, both on the state and trait scales. Thus, patients with fibromyalgia had higher levels of tension, nervousness, preoccupation and apprehension, and higher propensity towards anxiety. CONCLUSION: The three instruments utilized showed efficiency in evaluating fibromyalgia patients. FIQ was found to be the most efficient instrument for discriminating and assessing the impact of fibromyalgia on their quality of life. It can be concluded that such patients have a worse quality of life and higher levels of anxiety.

Evaluation of Project Architecture in Software Development Mixing Waterfall and Agile by Using Process Simulation

2017 ◽  
Vol 02 (02) ◽  
pp. 1750007
Author(s):  
Taiga Mitsuyuki ◽  
Kazuo Hiekata ◽  
Takuya Goto ◽  
Bryan Moser
Keyword(s):  
Software Development ◽  
Process Simulation ◽  
System Development ◽  
Development Project ◽  
Development Projects ◽  
Software Project ◽  
Conditional Response ◽  
Agile Process ◽  
Requirement Changes ◽  
The Impact

For software development, especially massive software systems, a waterfall process is used traditionally. A waterfall process can be highly effective on the condition that a master plan is fixed and the possibility of changes and uncertain rework is low. However, in software development projects, many kinds of reworks occur corresponding to uncertain requirement changes and program bugs. In addition, with the advent of cloud-based software platforms and continuous development operations, it is possible to develop a software system while operating the system. To respond to this situation, software development projects often adopt an agile process. Agility may allow conditional response to uncertain rework, yet at the same time it may be difficult to control the achievement of known project targets. Recently, many cases of adopting mixed processes including waterfall and agile have been reported in the massive software development projects. In this paper, we argue that the mixed process architecture should be designed, considering the scale of the targeted software project, the culture of organization, the probability of uncertain requirement changes, and so on. This paper proposes a methodology of evaluating the impact of waterfall, agile, and mixed project architectures by using process simulation. A project architectural approach is evaluated with a simulator which includes a software reliability growth model and uncertain rework driven by requirement change and error propagation. The proposed methodology was applied to a development project for a simple shopping website. The results showed that the proposed methodology allows exploration of partial agile adoption depending on the nature of the system development project, including its scale and chances of change. For example, in this paper, if the scale of the project is small, the positive effect of increasing agility by adopting agile processes is low. On the other hand, if the scale of the project is large, the effect of increasing agility by adopting agile process can increase. Furthermore, it became clear that it is important to not apply an agile process blindly, but instead to design a mixed project architecture considering the number of errors and development schedule targets across the project scope.

scholarly journals Self-Concept, Gender, And Product Type: An Investigation Of Brand Loyalty

2011 ◽  
Vol 10 (1) ◽  
pp. 25
Author(s):  
Joseph F. Rocereto ◽  
Joseph B. Mosca
Keyword(s):  
Brand Loyalty ◽  
Brand Image ◽  
Product Type ◽  
Self Concept ◽  
Consumer Attitude ◽  
Font Size ◽  
Proposed Model ◽  
Hedonic And Utilitarian Products ◽  
The Impact

<span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0in 0.5in 0pt; text-align: justify; mso-pagination: none; mso-add-space: auto;" class="MsoBodyText3"><span style="color: black; font-size: 10pt; mso-themecolor: text1;"><span style="font-family: Times New Roman;">Numerous studies have investigated the impact of self-concept brand image congruity on brand loyalty.<span style="mso-spacerun: yes;"> </span>However, there is a dearth of literature which has assessed this relationship across different product types.<span style="mso-spacerun: yes;"> </span>Furthermore, there is a lack of understanding regarding the role that gender may play in the creation of such brand loyalty.<span style="mso-spacerun: yes;"> </span>This study investigates the effects of self-concept brand image congruity on consumer attitude formation and resulting brand loyalty across two different types of products (i.e., hedonic and utilitarian products) and assesses the moderating role of gender within each product type setting.<span style="mso-spacerun: yes;"> </span>Results reveal that the proposed model is sufficiently robust to explain the effects of self-concept brand image congruities across different product types.<span style="mso-spacerun: yes;"> </span>Furthermore, this study indicates that gender serves as a moderator in both product type settings, however, in theoretically important different manners.</span></span></p><span style="font-family: Times New Roman; font-size: small;"> </span>

scholarly journals Corporate Reputation And Earnings Quality

2011 ◽  
Vol 25 (4) ◽  
Author(s):  
Christopher Luchs ◽  
Marty Stuebs ◽  
Li Sun
Keyword(s):  
Financial Reporting ◽  
Corporate Reputation ◽  
Earnings Quality ◽  
Individual Investors ◽  
Font Size ◽  
Cross Sectional ◽  
Investor Confidence ◽  
Reporting Environment ◽  
The Impact

<p class="MsoNoSpacing" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt;">Investor confidence and the quality of reported information are primary issues in our current financial reporting environment as a result of recent scandals and financial crises. Assessing the quality of reported financial information is an important issue for investors. Can investors use corporate reputation to assess earnings quality? This paper examines the association between corporate reputation and earnings quality. We use a public measure &ndash; &ldquo;America&rsquo;s Most Admired Companies&rdquo; &ndash; as a proxy for corporate reputation. These firms are considered to possess superior reputation. A cross-sectional accruals-based measure proxies for earnings quality. We compare the firms listed on America&rsquo;s Most Admired Companies of 2006 to a sample of control firms and find that sample firms have higher earnings quality than control firms. Our results should be of interest to managers who engage in behavior leading to or maintaining a positive corporate reputation, and to financial analysts who conduct research on the impact of corporate reputation on earnings quality. Moreover, our study can increase individual investors&rsquo; confidence in assessing the earnings quality of companies with a superior reputation. </span></p>

Determining the Quality and Impact of an E-Mentoring Program on At-Risk Youth

2015 ◽  
Vol 6 (2) ◽  
pp. 13-26
Author(s):  
Diane W. Culpepper ◽  
Victor M. Hernandez-Gantes ◽  
William E. Blank
Keyword(s):  
At Risk ◽  
Dropout Prevention ◽  
Test Scores ◽  
Self Esteem ◽  
Mentoring Program ◽  
Control Groups ◽  
Use Of Technology ◽  
And Control ◽  
The Impact

The purpose of this study was to determine the quality of an e-mentoring program and the impact of participation on at-risk high school students enrolled in dropout prevention programs. The quality of the program was evaluated based on the ease of implementation, use of technology, and overall satisfaction. Indicators of student's self-esteem, career decision, attendance, and GED test scores were used to gauge the impact of participation. Design-based research methods were used to compare the participation of students in mentored and control groups. The results indicated a high level of satisfaction with ease of implementation, use of technology, and overall program quality. However, there were no significant differences between the mentored and control groups regarding self-esteem, career indecision, attendance, and GED test scores. Since the GED dropout prevention program provides guidance and mentorship by the coordinator, further research is suggested to account for the role of program and other contributing variables. Also, further research is suggested on the ancillary benefits of e-mentoring.

Evaluating a smartphone application to increase the quantity and improve the quality of supervised practice driving

2021 ◽  
pp. injuryprev-2021-044247
Author(s):  
Johnathon P Ehsani ◽  
Rebecca Weast ◽  
Theresa Chirles ◽  
Andrew Hellinger ◽  
Wendy Shields ◽  
...  
Keyword(s):  
Smartphone Application ◽  
Crash Risk ◽  
First Year ◽  
Graduated Driver Licensing ◽  
Teenage Drivers ◽  
Stage 1 ◽  
Safety Benefit ◽  
And Control ◽  
The Impact

BackgroundThe learner stage of graduated driver licensing (GDL), when teenagers are supervised by an adult driver, represents an opportunity to develop skills that could confer a safety benefit during their years of independent driving. This paper describes the design of a teenage driving study, which aims to evaluate the impact of a smartphone application, the ‘DrivingApp,’ to increase the quantity and improve the quality of supervised practice driving.MethodsThis longitudinal intervention study of teenage drivers and a parent/guardian spans the final 6 months of the learner licence and the first year of independent driving. Participants will be assigned to experimental or control groups using block allocation. Parent–teenage dyads assigned to the intervention arm will receive information about their practice driving via a smartphone application, including miles driven and total drive time. Baseline and monthly surveys will be administered to both experimental and control participants to measure the outcome measures during the learner stage: (1) practice driving amount, (2) consistency and (3) variety. Outcomes during independent driving are (1) self-reported number of attempts at the driving test and (2) number of crashes during the first year of independent driving.DiscussionImproving the quality of teenagers’ supervised practice driving is an unmet research need. This study will contribute to the evidence about what can be done during the learner period of GDL to maximise teenage drivers’ safety during the first years of independent driving, when crash risk is highest.

Sign in / Sign up

Export Citation Format

Share Document