scholarly journals Testing mobile applications via automated exploration of graphical user interface and textual user input generation

2019 ◽  
Author(s):  
Yauhen Leanidavich Arnatovich

2015 ◽  
Author(s):  
Anurag Priyam ◽  
Ben J Woodcroft ◽  
Vivek Rai ◽  
Alekhya Munagala ◽  
Ismail Moghul ◽  
...  

The dramatic drop in DNA sequencing costs has created many opportunities for novel biological research. These opportunities largely rest upon the ability to effectively compare newly obtained and previously known sequences. This is commonly done with BLAST, yet using BLAST directly on new datasets requires substantial technical skills or helpful colleagues. Furthermore, graphical interfaces for BLAST are challenging to install and largely mimic underlying computational processes rather than work patterns of researchers. We combined a user-centric design philosophy with sustainable software development approaches to create Sequenceserver (http://sequenceserver.com), a modern graphical user interface for BLAST. Sequenceserver substantially increases the efficiency of researchers working with sequence data. This is due first to innovations at three levels. First, our software can be installed and used on custom datasets extremely rapidly for personal and shared applications. Second, based on analysis of user input and simple algorithms, Sequenceserver reduces the amount of decisions the user must make, provides interactive visual feedback, and prevents common potential errors that would otherwise cause erroneous results. Finally, Sequenceserver provides multiple highly visual and text-based output options that mirror the requirements and work patterns of researchers. Together, these features greatly facilitate BLAST analysis and interpretation and thus substantially enhance researcher productivity.



Author(s):  
Leidi J. Enriquez Muñoz ◽  
Edilson Y. Noguera Zúñiga ◽  
Leandro Flórez Aristizábal ◽  
Cesar A. Collazos ◽  
Gloria Daza ◽  
...  


10.29007/wtwg ◽  
2019 ◽  
Author(s):  
Osama Barack ◽  
Liguo Huang

As mobile applications have become popular among end-users, developers have intro- duced a wide range of features that increase the complexity of application code. Orthogonal Defect Classification (ODC) is a model that enables developers to classify defects and track the process of inspection and testing. However, ODC was introduced to classify defects of traditional software. Mobile applications differ from traditional applications in many ways; they are susceptible to external factors, such as screen and network changes, notifi- cations, and phone interruptions, which affect the applications’ functioning. Therefore, in this paper, the ODC model will be adapted to accommodate defects of mobile applications. This allows us to address newly introduced application defects found in the mobile domain, such as energy, notification, and Graphical User Interface (GUI). In addition, based on the new model, we classify found defects of two well-known mobile applications. Moreover, we discuss one-way and two-way analyses. This work provides developers with a suitable defect analysis technique for mobile applications.







2016 ◽  
Vol 3 (1) ◽  
Author(s):  
LAL SINGH ◽  
PARMEET SINGH ◽  
RAIHANA HABIB KANTH ◽  
PURUSHOTAM SINGH ◽  
SABIA AKHTER ◽  
...  

WOFOST version 7.1.3 is a computer model that simulates the growth and production of annual field crops. All the run options are operational through a graphical user interface named WOFOST Control Center version 1.8 (WCC). WCC facilitates selecting the production level, and input data sets on crop, soil, weather, crop calendar, hydrological field conditions, soil fertility parameters and the output options. The files with crop, soil and weather data are explained, as well as the run files and the output files. A general overview is given of the development and the applications of the model. Its underlying concepts are discussed briefly.



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