Enabling Focused Software Quality Assurance in Agile Software Development Processes for Mobile Applications using Text and Usage Mining Methods

被引:0
|
作者
Bauer, Michael [2 ]
Sergieieva, Kateryna [1 ]
Meixner, Gerrit [1 ]
Holl, Konstantin [2 ]
Elberzhager, Frank [2 ]
机构
[1] Heilbronn Univ, Usabil & Interact Technol Lab UniTyLab, Max Planck Str 39, D-74081 Heilbronn, Germany
[2] Fraunhofer Inst Expt Software Engn IESE, Informat Syst Qual Assurance, Fraunhofer Pl 1, D-67663 Kaiserslautern, Germany
来源
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 2 | 2017年
关键词
Software Maintenance Tools; Agile Software Development; Data Mining; Data Analytics; Mobile Computing;
D O I
10.5220/0006224801280132
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The acceptance of mobile applications that support services, such as navigation guidance or travel management, is highly dependent on the set of features implemented and the application quality. Information about the acceptance can be gained quickly by collecting user feedback like explicit textual reviews given by the application users or their implicitly given usage data. Considering an approach that bases on developing a minimal set of functions in order to realize a minimal viable product (MVP), it is possible to place a product with a short time to market. In this paper the Opti4Apps approach is presented. It aims at a focused quality assurance as part of the MVP development, which enables and expands the benefits of MVP by providing a semi-automated feedback elicitation, analysis and processing framework. The Opti4Apps process adjusts to mobile development habits including an additional automated feedback and usage data processing infrastructure.
引用
收藏
页码:128 / 132
页数:5
相关论文
共 12 条
  • [11] Factors Influencing the Acceptance of Online Mobile Auctions using User-Centered Agile Software Development: An Early Technology Acceptance Model
    Namoun, Abdallah
    Alrehaili, Ahmed
    Tufail, Ali
    Natour, Aseel
    Husari, Yaman
    Al-Sharafi, Mohammed A.
    Alsaadi, Albaraa M.
    Almoamari, Hani
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (11) : 908 - 922
  • [12] Cross-Project Estimation of Software Development Effort Using In-House Sources and Data Mining Methods - an Experiment
    Karna, Hrvoje
    Masnov, Ana
    Jurrko, Darija
    Peric, Tomislav
    2019 27TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), 2019, : 258 - 262