Technical Debt in Data-Intensive Software Systems

Understand

The ever-increasing amount, variety as well as generation and processing speed of today's data pose a variety of new challenges for developing Data-Intensive Software Systems (DISS).

• As with developing other kinds of software systems, developing DISS is often done under severe pressure and strict schedules.
• Thus, developers of DISS often have to make technical compromises to meet business concerns.
• This position paper proposes a conceptual model that outlines where Technical Debt (TD) can emerge and proliferate within such data-centric systems by separating a DISS into three parts (Software Systems, Data Storage Systems and Data).