Researchers have been active in the field of software engineering measurement over more than 30 years. The software quality product is becoming increasingly important in the computerized society. Target setting in sof...Researchers have been active in the field of software engineering measurement over more than 30 years. The software quality product is becoming increasingly important in the computerized society. Target setting in software quality function and usability deployment are essential since they are directly related to development of high quality products with high customer satisfaction. Software quality can be measured as the degree to which a particular software program complies with consumer demand regarding function and characteristics. Target setting is usually subjective in practice, which is unscientific. Therefore, this study proposes a quantity model for controlling and measuring software quality via the expert decision-making algorithm-based method for constructing an evaluation method can provide software in relation to users and purchasers, thus enabling administrators or decision makers to identify the most appropriate software quality. Importantly, the proposed model can provide s users and purchasers a reference material, making it highly applicable for academic and government purposes.展开更多
Determining the importance ratings of technical characteristics is a typical group decision-making process. The linguistic-based approach can effectively manage the imprecise and multi-granularity information i;n qual...Determining the importance ratings of technical characteristics is a typical group decision-making process. The linguistic-based approach can effectively manage the imprecise and multi-granularity information i;n quality function deployment and facilitate decision-making in deriving the importance ratings. Based on the linguistic weighted averaging （LWA） operator and the linguistic hybrid averaging （LHA） operator, a practical approach is proposed to first aggregate the individual judgments into a collective value for each technical characteristic under linguistic environment, and then measure the deviation degree of linguistic variables to obtain the importance ratings of technical characteristics. A case study shows the application of the proposed method.展开更多
Background: Patient-reported outcome measures (PROMS) are essential tools in clinical practice and research to assess patients’ needs from their unique perspectives. They allow the healthcare team to monitor patient ...Background: Patient-reported outcome measures (PROMS) are essential tools in clinical practice and research to assess patients’ needs from their unique perspectives. They allow the healthcare team to monitor patient status and concerns outside the clinical setting. However, the real innovation in this field is its digitization: electronic patient-reported outcome measures (ePROMs). Aims: This review aimed to get an overview of whether these new technologies are being used to aid palliative care teams in their daily struggle to provide comfort to their patients. Methods: We conducted a systematic review of articles retrieved from PubMed and Web of Science, up to November 2021. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The search strategy yielded 242 records, of which 13 met the predefined inclusion and exclusion criteria. In addition, relevant information related to ePROMs was extracted from each study. Results: Outcomes were grouped into the quality of life assessment, symptom burden and simple assessments, and the decision to introduce Palliative Cures (PC). In 61.5% of cases, ePROMs positively impacted patients’ quality of life. Furthermore, in 46.15% of cases, ePROMs led Primary Care (PC) teams to make an ethical decision;the same relative value as in the circumstances did not define the direction in ethical terms. Conclusion: Remind professionals and patients that these tools exist and can be applied in many situations. If used correctly, they can provide patients with a better quality of life and more complete information for professionals.展开更多
Crowdsourcing is widely used in various fields to collect goods and services from large participants.Evaluating teaching quality by collecting feedback from experts or students after class is not only delayed but also...Crowdsourcing is widely used in various fields to collect goods and services from large participants.Evaluating teaching quality by collecting feedback from experts or students after class is not only delayed but also not accurate.In this paper,we present a crowdsourcing-based framework to evaluate teaching quality in the classroom using a weighted average operator to aggregate information from students’questionnaires described by linguistic 2-tuple terms.Then we define crowd grade based on similarity degree to distinguish contribution from different students and minimize the abnormal students’impact on the evaluation.The crowd grade would be updated at the end of each feedback so it can guarantee the evaluation accurately.Moreover,a simulated case is shown to illustrate how to apply this framework to assess teaching quality in the classroom.Finally,we developed a prototype and carried out some experiments on a series of real questionnaires and two sets of modified data.The results show that teachers can locate the weak points of teaching and furthermore to identify the abnormal students to improve the teaching quality.Meanwhile,our approach provides a strong tolerance for the abnormal student to make the evaluation more accurate.展开更多
文摘Researchers have been active in the field of software engineering measurement over more than 30 years. The software quality product is becoming increasingly important in the computerized society. Target setting in software quality function and usability deployment are essential since they are directly related to development of high quality products with high customer satisfaction. Software quality can be measured as the degree to which a particular software program complies with consumer demand regarding function and characteristics. Target setting is usually subjective in practice, which is unscientific. Therefore, this study proposes a quantity model for controlling and measuring software quality via the expert decision-making algorithm-based method for constructing an evaluation method can provide software in relation to users and purchasers, thus enabling administrators or decision makers to identify the most appropriate software quality. Importantly, the proposed model can provide s users and purchasers a reference material, making it highly applicable for academic and government purposes.
基金Supported by Natural Science Foundation(70971017)
文摘Determining the importance ratings of technical characteristics is a typical group decision-making process. The linguistic-based approach can effectively manage the imprecise and multi-granularity information i;n quality function deployment and facilitate decision-making in deriving the importance ratings. Based on the linguistic weighted averaging （LWA） operator and the linguistic hybrid averaging （LHA） operator, a practical approach is proposed to first aggregate the individual judgments into a collective value for each technical characteristic under linguistic environment, and then measure the deviation degree of linguistic variables to obtain the importance ratings of technical characteristics. A case study shows the application of the proposed method.
文摘Background: Patient-reported outcome measures (PROMS) are essential tools in clinical practice and research to assess patients’ needs from their unique perspectives. They allow the healthcare team to monitor patient status and concerns outside the clinical setting. However, the real innovation in this field is its digitization: electronic patient-reported outcome measures (ePROMs). Aims: This review aimed to get an overview of whether these new technologies are being used to aid palliative care teams in their daily struggle to provide comfort to their patients. Methods: We conducted a systematic review of articles retrieved from PubMed and Web of Science, up to November 2021. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The search strategy yielded 242 records, of which 13 met the predefined inclusion and exclusion criteria. In addition, relevant information related to ePROMs was extracted from each study. Results: Outcomes were grouped into the quality of life assessment, symptom burden and simple assessments, and the decision to introduce Palliative Cures (PC). In 61.5% of cases, ePROMs positively impacted patients’ quality of life. Furthermore, in 46.15% of cases, ePROMs led Primary Care (PC) teams to make an ethical decision;the same relative value as in the circumstances did not define the direction in ethical terms. Conclusion: Remind professionals and patients that these tools exist and can be applied in many situations. If used correctly, they can provide patients with a better quality of life and more complete information for professionals.
文摘Crowdsourcing is widely used in various fields to collect goods and services from large participants.Evaluating teaching quality by collecting feedback from experts or students after class is not only delayed but also not accurate.In this paper,we present a crowdsourcing-based framework to evaluate teaching quality in the classroom using a weighted average operator to aggregate information from students’questionnaires described by linguistic 2-tuple terms.Then we define crowd grade based on similarity degree to distinguish contribution from different students and minimize the abnormal students’impact on the evaluation.The crowd grade would be updated at the end of each feedback so it can guarantee the evaluation accurately.Moreover,a simulated case is shown to illustrate how to apply this framework to assess teaching quality in the classroom.Finally,we developed a prototype and carried out some experiments on a series of real questionnaires and two sets of modified data.The results show that teachers can locate the weak points of teaching and furthermore to identify the abnormal students to improve the teaching quality.Meanwhile,our approach provides a strong tolerance for the abnormal student to make the evaluation more accurate.
