scholarly journals Improving Software Development Process using Data Traceability Management

2019 ◽  
Vol 7 (1) ◽  
pp. 52 ◽  
Author(s):  
Othmane Rahmaoui ◽  
Kamal Souali ◽  
Mohammad Ouzzif
Keyword(s):  
Information Technology ◽  
Software Development ◽  
Food Industry ◽  
Development Process ◽  
Software Development Process ◽  
New Approach ◽  
Using Data

<strong>Today traceability is a buzz word and it used in several domains like healthcare, food industry and transportation sectors. In Information Technology, traceability plays a very important role and it can be defined in various ways, depending on the environment and process under consideration. In this paper we are presenting just an idea of a new approach to improve the software development process with the traceability management in order to implement and test the method to show the benefits of using it.</strong>

scholarly journals Are UX Evaluation Methods Providing the Same Big Picture?

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3480
Author(s):  
Walter Takashi Nakamura ◽  
Iftekhar Ahmed ◽  
David Redmiles ◽  
Edson Oliveira ◽  
David Fernandes ◽  
...  
Keyword(s):  
Software Development ◽  
Decision Process ◽  
Development Process ◽  
Evaluation Methods ◽  
Sentence Completion ◽  
Software Development Process ◽  
Software Application ◽  
Software Products ◽  
Big Picture ◽  
The Impact

The success of a software application is related to users’ willingness to keep using it. In this sense, evaluating User eXperience (UX) became an important part of the software development process. Researchers have been carrying out studies by employing various methods to evaluate the UX of software products. Some studies reported varied and even contradictory results when applying different UX evaluation methods, making it difficult for practitioners to identify which results to rely upon. However, these works did not evaluate the developers’ perspectives and their impacts on the decision process. Moreover, such studies focused on one-shot evaluations, which cannot assess whether the methods provide the same big picture of the experience (i.e., deteriorating, improving, or stable). This paper presents a longitudinal study in which 68 students evaluated the UX of an online judge system by employing AttrakDiff, UEQ, and Sentence Completion methods at three moments along a semester. This study reveals contrasting results between the methods, which affected developers’ decisions and interpretations. With this work, we intend to draw the HCI community’s attention to the contrast between different UX evaluation methods and the impact of their outcomes in the software development process.

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